메뉴 건너뛰기




Volumn 37, Issue 3, 2013, Pages 420-426

Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: A review

Author keywords

Breast cancer; Computer aided detection; Computer aided diagnosis; Mammography; Ultrasound

Indexed keywords

BREAST CANCER; CANCER DETECTION; COMPUTER-AIDED DETECTION; EARLY DETECTION OF BREAST CANCER; FEATURE EXTRACTION AND SELECTION; PERFORMANCE EVALUATION METRICS; REGIONS OF INTEREST; ULTRASOUND IMAGES;

EID: 84876727324     PISSN: 08997071     EISSN: 18734499     Source Type: Journal    
DOI: 10.1016/j.clinimag.2012.09.024     Document Type: Review
Times cited : (327)

References (117)
  • 1
    • 0036062795 scopus 로고    scopus 로고
    • Screening mammography: proven benefit, continued controversy
    • Lee C Screening mammography: proven benefit, continued controversy. Radiol Clin N Am 2002, 40(3):395-407.
    • (2002) Radiol Clin N Am , vol.40 , Issue.3 , pp. 395-407
    • Lee, C.1
  • 2
    • 0026655955 scopus 로고
    • Analysis of cancers missed at screening mammography
    • Bird RE, Wallace T, Yankaskas B Analysis of cancers missed at screening mammography. Radiology 1992, 184(3):613-617.
    • (1992) Radiology , vol.184 , Issue.3 , pp. 613-617
    • Bird, R.E.1    Wallace, T.2    Yankaskas, B.3
  • 3
    • 0034610318 scopus 로고    scopus 로고
    • Performance of screening mammography among women with and without a first-degree relative with breast cancer
    • Kerlikowske K, et al. Performance of screening mammography among women with and without a first-degree relative with breast cancer. Ann Intern Med 2000, 133(11):855.
    • (2000) Ann Intern Med , vol.133 , Issue.11 , pp. 855
    • Kerlikowske, K.1
  • 4
    • 0036188826 scopus 로고    scopus 로고
    • Computer-aided diagnosis in radiology
    • Giger ML Computer-aided diagnosis in radiology. Acad Radiol 2002, 9(1):1.
    • (2002) Acad Radiol , vol.9 , Issue.1 , pp. 1
    • Giger, M.L.1
  • 5
    • 0035705848 scopus 로고    scopus 로고
    • Computer-aided diagnosis in medical imaging
    • Giger ML, Karssemeijer N Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging 2001, 20(12):1205-1208.
    • (2001) IEEE Trans Med Imaging , vol.20 , Issue.12 , pp. 1205-1208
    • Giger, M.L.1    Karssemeijer, N.2
  • 6
    • 0001397622 scopus 로고    scopus 로고
    • Computer-aided diagnosis of breast lesions in medical images
    • Giger ML Computer-aided diagnosis of breast lesions in medical images. Comput Sci Eng 2000, 2(5):39-45.
    • (2000) Comput Sci Eng , vol.2 , Issue.5 , pp. 39-45
    • Giger, M.L.1
  • 7
    • 0033180540 scopus 로고    scopus 로고
    • Computer-aided diagnosis in radiology: potential and pitfalls
    • Doi K, et al. Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol 1999, 31(2):97-109.
    • (1999) Eur J Radiol , vol.31 , Issue.2 , pp. 97-109
    • Doi, K.1
  • 8
    • 0033903208 scopus 로고    scopus 로고
    • Computer-aided detection and diagnosis of breast cancer
    • Vyborny CJ, Giger ML, Nishikawa RM Computer-aided detection and diagnosis of breast cancer. Radiol Clin North Am 2000, 38(4):725-740.
    • (2000) Radiol Clin North Am , vol.38 , Issue.4 , pp. 725-740
    • Vyborny, C.J.1    Giger, M.L.2    Nishikawa, R.M.3
  • 10
    • 0023948342 scopus 로고
    • Enhanced interpretation of diagnostic images
    • Getty DJ, et al. Enhanced interpretation of diagnostic images. Invest Radiol 1988, 23(4):240.
    • (1988) Invest Radiol , vol.23 , Issue.4 , pp. 240
    • Getty, D.J.1
  • 11
    • 33746220401 scopus 로고    scopus 로고
    • Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set
    • Horsch K, et al. Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology 2006, 240(2):357-368.
    • (2006) Radiology , vol.240 , Issue.2 , pp. 357-368
    • Horsch, K.1
  • 12
    • 0036316503 scopus 로고    scopus 로고
    • Effectiveness of computer-aided diagnosis-observer study with independent database of mammograms
    • Huo Z, et al. Effectiveness of computer-aided diagnosis-observer study with independent database of mammograms. Radiology 2002, 224:560-568.
    • (2002) Radiology , vol.224 , pp. 560-568
    • Huo, Z.1
  • 13
    • 0032890770 scopus 로고    scopus 로고
    • Improving breast cancer diagnosis with computer-aided diagnosis
    • Jiang Y, et al. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 1999, 6(1):22-33.
    • (1999) Acad Radiol , vol.6 , Issue.1 , pp. 22-33
    • Jiang, Y.1
  • 14
    • 16544386623 scopus 로고    scopus 로고
    • Lung cancer screening with spiral CT: toward a working strategy
    • Warner EE, Mulshine J Lung cancer screening with spiral CT: toward a working strategy. Oncology 2004, 18(5):564-575.
    • (2004) Oncology , vol.18 , Issue.5 , pp. 564-575
    • Warner, E.E.1    Mulshine, J.2
  • 15
    • 0032565365 scopus 로고    scopus 로고
    • Mass screening for lung cancer with mobile spiral computed tomography scanner
    • Sone S, et al. Mass screening for lung cancer with mobile spiral computed tomography scanner. Lancet 1998, 351(9111):1242-1245.
    • (1998) Lancet , vol.351 , Issue.9111 , pp. 1242-1245
    • Sone, S.1
  • 16
    • 0033542870 scopus 로고    scopus 로고
    • Early Lung Cancer Action Project: overall design and findings from baseline screening
    • Henschke CI, et al. Early Lung Cancer Action Project: overall design and findings from baseline screening. Lancet 1999, 354(9173):99-105.
    • (1999) Lancet , vol.354 , Issue.9173 , pp. 99-105
    • Henschke, C.I.1
  • 17
    • 0036156355 scopus 로고    scopus 로고
    • Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: pilot study
    • Yoshida H, et al. Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: pilot study. Radiology 2002, 222(2):327-336.
    • (2002) Radiology , vol.222 , Issue.2 , pp. 327-336
    • Yoshida, H.1
  • 18
    • 0034860859 scopus 로고    scopus 로고
    • Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center
    • Freer TW, Ulissey MJ Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. Radiology 2001, 220(3):781-786.
    • (2001) Radiology , vol.220 , Issue.3 , pp. 781-786
    • Freer, T.W.1    Ulissey, M.J.2
  • 19
    • 1342263571 scopus 로고    scopus 로고
    • Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system
    • Gur D, et al. Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system. J Natl Cancer Inst 2004, 96(3):185-190.
    • (2004) J Natl Cancer Inst , vol.96 , Issue.3 , pp. 185-190
    • Gur, D.1
  • 20
    • 22544470854 scopus 로고    scopus 로고
    • Computer-aided detection with screening mammography in a university hospital setting
    • Birdwell RL, Bandodkar P, Ikeda DM Computer-aided detection with screening mammography in a university hospital setting. Radiology 2005, 236(2):451-457.
    • (2005) Radiology , vol.236 , Issue.2 , pp. 451-457
    • Birdwell, R.L.1    Bandodkar, P.2    Ikeda, D.M.3
  • 21
    • 33646124032 scopus 로고    scopus 로고
    • Screening mammograms: interpretation with computer-aided detection-prospective evaluation
    • Morton MJ, et al. Screening mammograms: interpretation with computer-aided detection-prospective evaluation. Radiology 2006, 239(2):375-383.
    • (2006) Radiology , vol.239 , Issue.2 , pp. 375-383
    • Morton, M.J.1
  • 22
    • 33747130105 scopus 로고    scopus 로고
    • Improved cancer detection using computer-aided detection with diagnostic and screening mammography: prospective study of 104 cancers
    • Dean JC, Ilvento CC Improved cancer detection using computer-aided detection with diagnostic and screening mammography: prospective study of 104 cancers. Am J Roentgenol 2006, 187(1):20-28.
    • (2006) Am J Roentgenol , vol.187 , Issue.1 , pp. 20-28
    • Dean, J.C.1    Ilvento, C.C.2
  • 23
    • 54049105738 scopus 로고    scopus 로고
    • Single reading with computer-aided detection for screening mammography
    • Gilbert FJ, et al. Single reading with computer-aided detection for screening mammography. N Engl J Med 2008, 359(16):1675-1684.
    • (2008) N Engl J Med , vol.359 , Issue.16 , pp. 1675-1684
    • Gilbert, F.J.1
  • 24
    • 7044245861 scopus 로고    scopus 로고
    • Computerized analysis of images in the detection and diagnosis of breast cancer
    • Giger ML Computerized analysis of images in the detection and diagnosis of breast cancer. Semin Ultrasound CT MR 2004, 411-418.
    • (2004) Semin Ultrasound CT MR , pp. 411-418
    • Giger, M.L.1
  • 25
    • 80053469036 scopus 로고    scopus 로고
    • Computer-aided diagnosis and artificial intelligence in clinical imaging
    • Shiraishi J, et al. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med 2011, 449-462.
    • (2011) Semin Nucl Med , pp. 449-462
    • Shiraishi, J.1
  • 26
    • 0041508866 scopus 로고    scopus 로고
    • Improvement in sensitivity of screening mammography with computer-aided detection: a multiinstitutional trial
    • Brem RF, et al. Improvement in sensitivity of screening mammography with computer-aided detection: a multiinstitutional trial. Am J Roentgenol 2003, 181(3):687-693.
    • (2003) Am J Roentgenol , vol.181 , Issue.3 , pp. 687-693
    • Brem, R.F.1
  • 27
    • 0005482571 scopus 로고    scopus 로고
    • Potential contribution of computer-aided detection to the sensitivity of screening mammography
    • Burhenne LJW, et al. Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology 2000, 215(2):554-562.
    • (2000) Radiology , vol.215 , Issue.2 , pp. 554-562
    • Burhenne, L.J.W.1
  • 28
    • 32944481413 scopus 로고    scopus 로고
    • Impact of computer-aided detection in a regional screening mammography program
    • Cupples TE, Cunningham JE, Reynolds JC Impact of computer-aided detection in a regional screening mammography program. Am J Roentgenol 2005, 185(4):944-950.
    • (2005) Am J Roentgenol , vol.185 , Issue.4 , pp. 944-950
    • Cupples, T.E.1    Cunningham, J.E.2    Reynolds, J.C.3
  • 29
    • 0029376019 scopus 로고
    • Markov random field for tumor detection in digital mammography
    • Li H, et al. Markov random field for tumor detection in digital mammography. IEEE Trans Med Imaging 1995, 14(3):565-576.
    • (1995) IEEE Trans Med Imaging , vol.14 , Issue.3 , pp. 565-576
    • Li, H.1
  • 31
    • 0030269884 scopus 로고    scopus 로고
    • Detection of stellate distortions in mammograms
    • Karssemeijer N, te Brake GM Detection of stellate distortions in mammograms. IEEE Trans Med Imaging 1996, 15(5):611-619.
    • (1996) IEEE Trans Med Imaging , vol.15 , Issue.5 , pp. 611-619
    • Karssemeijer, N.1    Te Brake, G.M.2
  • 32
    • 0035369670 scopus 로고    scopus 로고
    • Multiresolution detection of spiculated lesions in digital mammograms
    • Liu S, Babbs CF, Delp EJ Multiresolution detection of spiculated lesions in digital mammograms. IEEE Trans Med Imaging 2001, 10(6):874-884.
    • (2001) IEEE Trans Med Imaging , vol.10 , Issue.6 , pp. 874-884
    • Liu, S.1    Babbs, C.F.2    Delp, E.J.3
  • 33
    • 0005384279 scopus 로고    scopus 로고
    • Development of mass detection algorithm based on adaptive thresholding technique in digital mammograms
    • Matsubara T, et al. Development of mass detection algorithm based on adaptive thresholding technique in digital mammograms. Digital Mammogrpahy 1996, 1:391-396.
    • (1996) Digital Mammogrpahy , vol.1 , pp. 391-396
    • Matsubara, T.1
  • 34
    • 0025482299 scopus 로고
    • An approach to automated detection of tumors in mammograms
    • Brzakovic D, Luo X, Brzakovic P An approach to automated detection of tumors in mammograms. IEEE Trans Med Imaging 1990, 9(3):233-241.
    • (1990) IEEE Trans Med Imaging , vol.9 , Issue.3 , pp. 233-241
    • Brzakovic, D.1    Luo, X.2    Brzakovic, P.3
  • 35
    • 0033277537 scopus 로고    scopus 로고
    • Digital mammography: comparison of adaptive and nonadaptive CAD methods for mass detection
    • Qian W, et al. Digital mammography: comparison of adaptive and nonadaptive CAD methods for mass detection. Acad Radiol 1999, 6(8):471-480.
    • (1999) Acad Radiol , vol.6 , Issue.8 , pp. 471-480
    • Qian, W.1
  • 36
    • 0033772931 scopus 로고    scopus 로고
    • An automatic method to discriminate malignant masses from normal tissue in digital mammograms
    • Brake GM, Karssemeijer N, Hendriks JHCL An automatic method to discriminate malignant masses from normal tissue in digital mammograms. Phys Med Biol 2000, 45:2843.
    • (2000) Phys Med Biol , vol.45 , pp. 2843
    • Brake, G.M.1    Karssemeijer, N.2    Hendriks, J.H.C.L.3
  • 37
    • 0041387362 scopus 로고    scopus 로고
    • Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information
    • Tourassi GD, et al. Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information. Med Phys 2003, 30:2123.
    • (2003) Med Phys , vol.30 , pp. 2123
    • Tourassi, G.D.1
  • 39
    • 0030129835 scopus 로고    scopus 로고
    • Wavelet transforms for detecting microcalcifications in mammograms
    • Strickland RN, Hahn HI Wavelet transforms for detecting microcalcifications in mammograms. IEEE Trans Med Imaging 1996, 15(2):218-229.
    • (1996) IEEE Trans Med Imaging , vol.15 , Issue.2 , pp. 218-229
    • Strickland, R.N.1    Hahn, H.I.2
  • 40
    • 0030210774 scopus 로고    scopus 로고
    • An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms
    • Yoshida H, et al. An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms. Acad Radiol 1996, 3(8):621-627.
    • (1996) Acad Radiol , vol.3 , Issue.8 , pp. 621-627
    • Yoshida, H.1
  • 41
    • 0031802950 scopus 로고    scopus 로고
    • Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms
    • Zhang W, et al. Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Med Phys 1998, 25:949.
    • (1998) Med Phys , vol.25 , pp. 949
    • Zhang, W.1
  • 42
    • 0031212586 scopus 로고    scopus 로고
    • Detection of microcalcifications in mammograms using higher order statistics
    • Gurcan MN, et al. Detection of microcalcifications in mammograms using higher order statistics. IEEE Signal Processing Letters 1997, 4(8):213-216.
    • (1997) IEEE Signal Processing Letters , vol.4 , Issue.8 , pp. 213-216
    • Gurcan, M.N.1
  • 43
    • 0025296795 scopus 로고
    • Automatic computer detection of clustered calcifications in digital mammograms
    • Davies D, Dance D Automatic computer detection of clustered calcifications in digital mammograms. Phys Med Biol 1990, 35:1111.
    • (1990) Phys Med Biol , vol.35 , pp. 1111
    • Davies, D.1    Dance, D.2
  • 44
    • 0003210055 scopus 로고
    • Performance of automated CAD schemes for the detection and classification of clustered microcalcifications
    • Nishikawa R, et al. Performance of automated CAD schemes for the detection and classification of clustered microcalcifications. Digital Mammography 1994, 1:13-20.
    • (1994) Digital Mammography , vol.1 , pp. 13-20
    • Nishikawa, R.1
  • 45
    • 2442666562 scopus 로고    scopus 로고
    • A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography
    • Timp S, Karssemeijer N A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography. Med Phys 2004, 31:958.
    • (2004) Med Phys , vol.31 , pp. 958
    • Timp, S.1    Karssemeijer, N.2
  • 46
    • 0029546299 scopus 로고
    • Segmentation of magnetic resonance brain image: integrating region growing and edge detection
    • Xuan J, Adali T, Wang Y Segmentation of magnetic resonance brain image: integrating region growing and edge detection. International Conference on Image Processing 1995, Vol. 3:544-547.
    • (1995) International Conference on Image Processing , vol.3 , pp. 544-547
    • Xuan, J.1    Adali, T.2    Wang, Y.3
  • 47
    • 0026396562 scopus 로고
    • A new algorithm for image segmentation based on region growing and edge detection
    • Yu X, Yla-Jaaski J A new algorithm for image segmentation based on region growing and edge detection. International Sympoisum on Circuits and Systems 1991, Vol. 1:516-519.
    • (1991) International Sympoisum on Circuits and Systems , vol.1 , pp. 516-519
    • Yu, X.1    Yla-Jaaski, J.2
  • 48
    • 0008272403 scopus 로고    scopus 로고
    • Detection of breast tumor boundaries using iso-intensity contours and dynamic thresholding
    • Guliato D, et al. Detection of breast tumor boundaries using iso-intensity contours and dynamic thresholding. Comput Imaging Vis 1998, 13:253-260.
    • (1998) Comput Imaging Vis , vol.13 , pp. 253-260
    • Guliato, D.1
  • 49
    • 0032129152 scopus 로고    scopus 로고
    • Automated seeded lesion segmentation on digital mammograms
    • Kupinski MA, Giger ML Automated seeded lesion segmentation on digital mammograms. IEEE Trans Med Imaging 1998, 17(4):510-517.
    • (1998) IEEE Trans Med Imaging , vol.17 , Issue.4 , pp. 510-517
    • Kupinski, M.A.1    Giger, M.L.2
  • 50
    • 1242338930 scopus 로고    scopus 로고
    • Computer-aided diagnosis of mammographic microcalcification clusters
    • Kallergi M Computer-aided diagnosis of mammographic microcalcification clusters. Med Phys 2004, 31:314.
    • (2004) Med Phys , vol.31 , pp. 314
    • Kallergi, M.1
  • 51
    • 79955781036 scopus 로고    scopus 로고
    • Medical image feature, extraction, selection and classification
    • Vasantha M, Bharathi DVS, Dhamodharan S Medical image feature, extraction, selection and classification. Int J Eng Sci 2010, 2:2071-2076.
    • (2010) Int J Eng Sci , vol.2 , pp. 2071-2076
    • Vasantha, M.1    Bharathi, D.V.S.2    Dhamodharan, S.3
  • 52
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Cover T, Hart P Nearest neighbor pattern classification. IEEE Trans Inf Theory 1967, 13(1):21-27.
    • (1967) IEEE Trans Inf Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 54
    • 56349089940 scopus 로고    scopus 로고
    • Support vector machines combined with feature selection for breast cancer diagnosis
    • Akay MF Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst Appl 2009, 36(2):3240-3247.
    • (2009) Expert Syst Appl , vol.36 , Issue.2 , pp. 3240-3247
    • Akay, M.F.1
  • 55
    • 0037002322 scopus 로고    scopus 로고
    • A support vector machine approach for detection of microcalcifications
    • El-Naqa I, et al. A support vector machine approach for detection of microcalcifications. IEEE Trans Med Imaging 2002, 21(12):1552-1563.
    • (2002) IEEE Trans Med Imaging , vol.21 , Issue.12 , pp. 1552-1563
    • El-Naqa, I.1
  • 56
    • 22944437120 scopus 로고    scopus 로고
    • Support vector machine for optical diagnosis of cancer
    • Majumder S, Ghosh N, Gupta PK Support vector machine for optical diagnosis of cancer. J Biomed Opt 2005, 10:24-34.
    • (2005) J Biomed Opt , vol.10 , pp. 24-34
    • Majumder, S.1    Ghosh, N.2    Gupta, P.K.3
  • 57
    • 84866851639 scopus 로고    scopus 로고
    • Comparative study of data mining classification methods in cardiovascular disease prediction
    • Kumari M, Godara S Comparative study of data mining classification methods in cardiovascular disease prediction. IJCST 2011, 2(2):304-308.
    • (2011) IJCST , vol.2 , Issue.2 , pp. 304-308
    • Kumari, M.1    Godara, S.2
  • 58
    • 0036275180 scopus 로고    scopus 로고
    • An evolutionary artificial neural networks approach for breast cancer diagnosis
    • Abbass HA An evolutionary artificial neural networks approach for breast cancer diagnosis. Artif Intell Med 2002, 25(3):265-281.
    • (2002) Artif Intell Med , vol.25 , Issue.3 , pp. 265-281
    • Abbass, H.A.1
  • 59
    • 0032047709 scopus 로고    scopus 로고
    • Application of artificial neural networks to medical image pattern recognition: detection of clustered microcalcifications on mammograms and lung cancer on chest radiographs
    • Lo SCB, et al. Application of artificial neural networks to medical image pattern recognition: detection of clustered microcalcifications on mammograms and lung cancer on chest radiographs. J VLSI Signal Processing 1998, 18(3):263-274.
    • (1998) J VLSI Signal Processing , vol.18 , Issue.3 , pp. 263-274
    • Lo, S.C.B.1
  • 60
    • 34447514175 scopus 로고    scopus 로고
    • Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors
    • Jesneck JL, Lo JY, Baker JA Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors. Radiology 2007, 244(2):390-398.
    • (2007) Radiology , vol.244 , Issue.2 , pp. 390-398
    • Jesneck, J.L.1    Lo, J.Y.2    Baker, J.A.3
  • 61
    • 33847208483 scopus 로고    scopus 로고
    • Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy
    • Sahiner B, et al. Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy. Radiology 2007, 242(3):716-724.
    • (2007) Radiology , vol.242 , Issue.3 , pp. 716-724
    • Sahiner, B.1
  • 62
    • 0037294995 scopus 로고    scopus 로고
    • Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks
    • Chen CM, et al. Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks. Radiology 2003, 226(2):504-514.
    • (2003) Radiology , vol.226 , Issue.2 , pp. 504-514
    • Chen, C.M.1
  • 63
    • 0017615980 scopus 로고
    • Combined mammographic-sonographic evaluation of breast masses
    • Teixidor H, Kazam E Combined mammographic-sonographic evaluation of breast masses. Am J Roentgenol 1977, 128(3):409-417.
    • (1977) Am J Roentgenol , vol.128 , Issue.3 , pp. 409-417
    • Teixidor, H.1    Kazam, E.2
  • 64
    • 0035996428 scopus 로고    scopus 로고
    • Computerized lesion detection on breast ultrasound
    • Drukker K, et al. Computerized lesion detection on breast ultrasound. Med Phys 2002, 29:1438.
    • (2002) Med Phys , vol.29 , pp. 1438
    • Drukker, K.1
  • 65
    • 33646460779 scopus 로고    scopus 로고
    • Characterization of solid breast masses use of the sonographic breast imaging reporting and data system lexicon
    • Costantini M, et al. Characterization of solid breast masses use of the sonographic breast imaging reporting and data system lexicon. J Ultrasound Med 2006, 25(5):649-659.
    • (2006) J Ultrasound Med , vol.25 , Issue.5 , pp. 649-659
    • Costantini, M.1
  • 66
    • 84887619600 scopus 로고    scopus 로고
    • Computer-aided diagnosis applied to 3-D US of solid breast nodules by using principal component analysis and image retrieval
    • Huang YL, Lin SH, Chen DR Computer-aided diagnosis applied to 3-D US of solid breast nodules by using principal component analysis and image retrieval. Neural Comput Appl 2006, 1:1802-1805.
    • (2006) Neural Comput Appl , vol.1 , pp. 1802-1805
    • Huang, Y.L.1    Lin, S.H.2    Chen, D.R.3
  • 67
    • 20444473752 scopus 로고    scopus 로고
    • Breast cancer diagnosis using image retrieval for different ultrasonic systems
    • Huang YL, Chen DR, Liu YK Breast cancer diagnosis using image retrieval for different ultrasonic systems. International Conference on 2004, Vol. 5:2957-2960.
    • (2004) International Conference on , vol.5 , pp. 2957-2960
    • Huang, Y.L.1    Chen, D.R.2    Liu, Y.K.3
  • 68
    • 24644485337 scopus 로고    scopus 로고
    • Artificial neural network to aid differentiation of malignant and benign breast masses by ultrasound imaging
    • Song JH, et al. Artificial neural network to aid differentiation of malignant and benign breast masses by ultrasound imaging. Proceedings of SPIE 2005, 148-152.
    • (2005) Proceedings of SPIE , pp. 148-152
    • Song, J.H.1
  • 69
    • 6344221607 scopus 로고    scopus 로고
    • Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features
    • Joo S, et al. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features. IEEE Trans Inf Theory 2004, 23(10):1292-1300.
    • (2004) IEEE Trans Inf Theory , vol.23 , Issue.10 , pp. 1292-1300
    • Joo, S.1
  • 70
    • 0038670778 scopus 로고    scopus 로고
    • Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis
    • Chang RF, et al. Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis. Ultrasound Med Biol 2003, 29(5):679-686.
    • (2003) Ultrasound Med Biol , vol.29 , Issue.5 , pp. 679-686
    • Chang, R.F.1
  • 71
    • 28444460771 scopus 로고    scopus 로고
    • Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery
    • Loizou CP, et al. Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery. IEEE Trans Ultrason Ferroelectr Freq Control 2005, 52(10):1653-1669.
    • (2005) IEEE Trans Ultrason Ferroelectr Freq Control , vol.52 , Issue.10 , pp. 1653-1669
    • Loizou, C.P.1
  • 72
    • 0032587463 scopus 로고    scopus 로고
    • Detection of lines and boundaries in speckle images-application to medical ultrasound
    • Czerwinski RN, Jones DL, O'Brien WD Detection of lines and boundaries in speckle images-application to medical ultrasound. IEEE Trans Med Imaging 1999, 18(2):126-136.
    • (1999) IEEE Trans Med Imaging , vol.18 , Issue.2 , pp. 126-136
    • Czerwinski, R.N.1    Jones, D.L.2    O'Brien, W.D.3
  • 73
    • 17244362537 scopus 로고    scopus 로고
    • Locally adaptive wavelet domain Bayesian processor for denoising medical ultrasound images using speckle modelling based on Rayleigh distribution
    • Gupta S, Chauhan R, Saxena S Locally adaptive wavelet domain Bayesian processor for denoising medical ultrasound images using speckle modelling based on Rayleigh distribution. IET 2005, 129-135.
    • (2005) IET , pp. 129-135
    • Gupta, S.1    Chauhan, R.2    Saxena, S.3
  • 74
    • 2342442910 scopus 로고    scopus 로고
    • Wavelet-based statistical approach for speckle reduction in medical ultrasound images
    • Gupta S, Chauhan R, Sexana S Wavelet-based statistical approach for speckle reduction in medical ultrasound images. Med Biol Eng Comput 2004, 42(2):189-192.
    • (2004) Med Biol Eng Comput , vol.42 , Issue.2 , pp. 189-192
    • Gupta, S.1    Chauhan, R.2    Sexana, S.3
  • 75
    • 0037983986 scopus 로고    scopus 로고
    • A versatile wavelet domain noise filtration technique for medical imaging
    • Pizurica A, et al. A versatile wavelet domain noise filtration technique for medical imaging. IEEE Trans Med Imaging 2003, 22(3):323-331.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.3 , pp. 323-331
    • Pizurica, A.1
  • 76
    • 0036821339 scopus 로고    scopus 로고
    • SAR speckle reduction using wavelet denoising and Markov random field modeling
    • Xie H, Pierce LE, Ulaby FT SAR speckle reduction using wavelet denoising and Markov random field modeling. IEEE Trans Geoscience Remote Sensing 2002, 40(10):2196-2212.
    • (2002) IEEE Trans Geoscience Remote Sensing , vol.40 , Issue.10 , pp. 2196-2212
    • Xie, H.1    Pierce, L.E.2    Ulaby, F.T.3
  • 77
    • 33745855505 scopus 로고    scopus 로고
    • A review of wavelet denoising in MRI and ultrasound brain imaging
    • Pizurica A, et al. A review of wavelet denoising in MRI and ultrasound brain imaging. Curr Medical Imaging Rev 2006, 2(2):247-260.
    • (2006) Curr Medical Imaging Rev , vol.2 , Issue.2 , pp. 247-260
    • Pizurica, A.1
  • 78
    • 24944591447 scopus 로고    scopus 로고
    • Medical image denoising using wavelet thresholding
    • Fourati W, Kammoun F, Bouhlel M Medical image denoising using wavelet thresholding. J Testing Eval 2005, 33(5):364.
    • (2005) J Testing Eval , vol.33 , Issue.5 , pp. 364
    • Fourati, W.1    Kammoun, F.2    Bouhlel, M.3
  • 79
    • 33644619828 scopus 로고    scopus 로고
    • Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images
    • Yue Y, et al. Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images. IEEE Trans Med Imaging 2006, 25(3):297-311.
    • (2006) IEEE Trans Med Imaging , vol.25 , Issue.3 , pp. 297-311
    • Yue, Y.1
  • 80
    • 0038695128 scopus 로고    scopus 로고
    • A new method of spatial compounding imaging
    • Behar V, Adam D, Friedman Z A new method of spatial compounding imaging. Ultrasonics 2003, 41(5):377-384.
    • (2003) Ultrasonics , vol.41 , Issue.5 , pp. 377-384
    • Behar, V.1    Adam, D.2    Friedman, Z.3
  • 81
    • 32044454390 scopus 로고    scopus 로고
    • The combined effect of spatial compounding and nonlinear filtering on the speckle reduction in ultrasound images
    • Adam D, et al. The combined effect of spatial compounding and nonlinear filtering on the speckle reduction in ultrasound images. Ultrasonics 2006, 44(2):166-181.
    • (2006) Ultrasonics , vol.44 , Issue.2 , pp. 166-181
    • Adam, D.1
  • 82
    • 0031107438 scopus 로고    scopus 로고
    • Three-dimensional spatial compounding of ultrasound images
    • Rohling R, Gee A, Berman L Three-dimensional spatial compounding of ultrasound images. Med Image Anal 1997, 1(3):177-193.
    • (1997) Med Image Anal , vol.1 , Issue.3 , pp. 177-193
    • Rohling, R.1    Gee, A.2    Berman, L.3
  • 83
    • 0036173894 scopus 로고    scopus 로고
    • Computerized diagnosis of breast lesions on ultrasound
    • Horsch K, et al. Computerized diagnosis of breast lesions on ultrasound. Med Phys 2002, 29:157.
    • (2002) Med Phys , vol.29 , pp. 157
    • Horsch, K.1
  • 84
    • 0034844805 scopus 로고    scopus 로고
    • Automatic segmentation of breast lesions on ultrasound
    • Horsch K, et al. Automatic segmentation of breast lesions on ultrasound. Med Phys 2001, 28:1652.
    • (2001) Med Phys , vol.28 , pp. 1652
    • Horsch, K.1
  • 85
    • 0032737421 scopus 로고    scopus 로고
    • Computer-aided diagnosis applied to US of solid breast nodules by using neural networks
    • Chen DR, Chang RF, Huang YL Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Radiology 1999, 213(2):407-412.
    • (1999) Radiology , vol.213 , Issue.2 , pp. 407-412
    • Chen, D.R.1    Chang, R.F.2    Huang, Y.L.3
  • 87
    • 0344844546 scopus 로고    scopus 로고
    • Segmentation of breast tumor in three-dimensional ultrasound images using three-dimensional discrete active contour model
    • Chang RF, et al. Segmentation of breast tumor in three-dimensional ultrasound images using three-dimensional discrete active contour model. Ultrasound Med Biol 2003, 29(11):1571-1581.
    • (2003) Ultrasound Med Biol , vol.29 , Issue.11 , pp. 1571-1581
    • Chang, R.F.1
  • 88
    • 0038104383 scopus 로고    scopus 로고
    • 3-D breast ultrasound segmentation using active contour model
    • Chen DR, et al. 3-D breast ultrasound segmentation using active contour model. Ultrasound Med Biol 2003, 29(7):1017-1026.
    • (2003) Ultrasound Med Biol , vol.29 , Issue.7 , pp. 1017-1026
    • Chen, D.R.1
  • 89
    • 0038398643 scopus 로고    scopus 로고
    • Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
    • Madabhushi A, Metaxas DN Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions. IEEE Trans Med Imaging 2003, 22(2):155-169.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.2 , pp. 155-169
    • Madabhushi, A.1    Metaxas, D.N.2
  • 90
    • 23244437447 scopus 로고    scopus 로고
    • Maximum likelihood segmentation of ultrasound images with Rayleigh distribution
    • Sarti A, et al. Maximum likelihood segmentation of ultrasound images with Rayleigh distribution. IEEE Trans Ultrason Ferroelectr Freq Control 2005, 52(6):947-960.
    • (2005) IEEE Trans Ultrason Ferroelectr Freq Control , vol.52 , Issue.6 , pp. 947-960
    • Sarti, A.1
  • 91
    • 0142213309 scopus 로고    scopus 로고
    • 3-D snake for US in margin evaluation for malignant breast tumor excision using mammotome
    • Chang RF, et al. 3-D snake for US in margin evaluation for malignant breast tumor excision using mammotome. IEEE Trans Inf Technol Biomed 2003, 7(3):197-201.
    • (2003) IEEE Trans Inf Technol Biomed , vol.7 , Issue.3 , pp. 197-201
    • Chang, R.F.1
  • 92
    • 0036814403 scopus 로고    scopus 로고
    • Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks
    • Chen DR, et al. Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks. Ultrasound Med Biol 2002, 28(10):1301-1310.
    • (2002) Ultrasound Med Biol , vol.28 , Issue.10 , pp. 1301-1310
    • Chen, D.R.1
  • 93
    • 2942557015 scopus 로고    scopus 로고
    • Watershed segmentation for breast tumor in 2-D sonography
    • Huang YL, Chen DR Watershed segmentation for breast tumor in 2-D sonography. Ultrasound Med Biol 2004, 30(5):625-632.
    • (2004) Ultrasound Med Biol , vol.30 , Issue.5 , pp. 625-632
    • Huang, Y.L.1    Chen, D.R.2
  • 94
    • 68949164775 scopus 로고    scopus 로고
    • Automated breast cancer detection and classification using ultrasound images: a survey
    • Cheng H, et al. Automated breast cancer detection and classification using ultrasound images: a survey. Pattern Recognit 2010, 43(1):299-317.
    • (2010) Pattern Recognit , vol.43 , Issue.1 , pp. 299-317
    • Cheng, H.1
  • 95
    • 0034074630 scopus 로고    scopus 로고
    • Breast cancer diagnosis using self-organizing map for sonography
    • Chen DR, Chang RF, Huang YL Breast cancer diagnosis using self-organizing map for sonography. Ultrasound Med Biol 2000, 26(3):405-411.
    • (2000) Ultrasound Med Biol , vol.26 , Issue.3 , pp. 405-411
    • Chen, D.R.1    Chang, R.F.2    Huang, Y.L.3
  • 96
    • 0033818759 scopus 로고    scopus 로고
    • Texture analysis of breast tumors on sonograms
    • Chen DR, et al. Texture analysis of breast tumors on sonograms. Semin Ultrasound CT MR 2000, 308-316.
    • (2000) Semin Ultrasound CT MR , pp. 308-316
    • Chen, D.R.1
  • 97
    • 0030271485 scopus 로고    scopus 로고
    • Morphological feature extraction for the classification of digital images of cancerous tissues
    • Thiran JP, Macq B Morphological feature extraction for the classification of digital images of cancerous tissues. IEEE Trans Biomed Eng 1996, 43(10):1011-1020.
    • (1996) IEEE Trans Biomed Eng , vol.43 , Issue.10 , pp. 1011-1020
    • Thiran, J.P.1    Macq, B.2
  • 98
    • 0004010749 scopus 로고    scopus 로고
    • American College of Radiology
    • American College of Radiology, Reston (Va)
    • American College of Radiology ACR standards 2000-2001 2000, American College of Radiology, Reston (Va).
    • (2000) ACR standards 2000-2001
  • 99
    • 18044391075 scopus 로고    scopus 로고
    • Support vector machines in sonography: application to decision making in the diagnosis of breast cancer
    • Huang YL, Chen DR Support vector machines in sonography: application to decision making in the diagnosis of breast cancer. Clin Imaging 2005, 29(3):179-184.
    • (2005) Clin Imaging , vol.29 , Issue.3 , pp. 179-184
    • Huang, Y.L.1    Chen, D.R.2
  • 100
    • 31944443382 scopus 로고    scopus 로고
    • Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines
    • Huang YL, Wang KL, Chen DR Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines. Neural Comput Appl 2006, 15(2):164-169.
    • (2006) Neural Comput Appl , vol.15 , Issue.2 , pp. 164-169
    • Huang, Y.L.1    Wang, K.L.2    Chen, D.R.3
  • 102
    • 16244385901 scopus 로고    scopus 로고
    • A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size
    • Brem RF, et al. A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size. Am J Roentgenol 2005, 184(3):893-896.
    • (2005) Am J Roentgenol , vol.184 , Issue.3 , pp. 893-896
    • Brem, R.F.1
  • 103
    • 23844558068 scopus 로고    scopus 로고
    • Evaluation of breast cancer with a computer-aided detection system by mammographic appearance and histopathology
    • Brem RF, et al. Evaluation of breast cancer with a computer-aided detection system by mammographic appearance and histopathology. Cancer 2005, 104(5):931-935.
    • (2005) Cancer , vol.104 , Issue.5 , pp. 931-935
    • Brem, R.F.1
  • 104
    • 0042931349 scopus 로고    scopus 로고
    • Influence of breast lesion size and histologic findings on tumor detection rate of a computer-aided detection system
    • Malich A, et al. Influence of breast lesion size and histologic findings on tumor detection rate of a computer-aided detection system. Radiology 2003, 228(3):851-856.
    • (2003) Radiology , vol.228 , Issue.3 , pp. 851-856
    • Malich, A.1
  • 105
    • 0036787305 scopus 로고    scopus 로고
    • Invasive lobular carcinoma of the breast: mammographic characteristics and computer-aided detection
    • Evans WP, et al. Invasive lobular carcinoma of the breast: mammographic characteristics and computer-aided detection. Radiology 2002, 225(1):182-189.
    • (2002) Radiology , vol.225 , Issue.1 , pp. 182-189
    • Evans, W.P.1
  • 106
    • 15944386717 scopus 로고    scopus 로고
    • Impact of breast density on computer-aided detection for breast cancer
    • Brem RF, et al. Impact of breast density on computer-aided detection for breast cancer. Am J Roentgenol 2005, 184(2):439-444.
    • (2005) Am J Roentgenol , vol.184 , Issue.2 , pp. 439-444
    • Brem, R.F.1
  • 107
    • 0018079655 scopus 로고
    • Basic principles of ROC analysis
    • Metz CE Basic principles of ROC analysis. Semin Nucl Med 1978, 283-298.
    • (1978) Semin Nucl Med , pp. 283-298
    • Metz, C.E.1
  • 108
    • 84875818837 scopus 로고    scopus 로고
    • Detection and characterization of mammographic masses by artificial neural network
    • Kinoshita S, et al. Detection and characterization of mammographic masses by artificial neural network. Comput Imaging Vis 1998, 13:489-490.
    • (1998) Comput Imaging Vis , vol.13 , pp. 489-490
    • Kinoshita, S.1
  • 109
    • 0031976735 scopus 로고    scopus 로고
    • Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis
    • Sahiner B, et al. Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis. Med Phys 1998, 25:516.
    • (1998) Med Phys , vol.25 , pp. 516
    • Sahiner, B.1
  • 110
    • 0033233285 scopus 로고    scopus 로고
    • Classification of malignant and benign masses based on hybrid ART2LDA approach
    • Hadjiiski L, et al. Classification of malignant and benign masses based on hybrid ART2LDA approach. IEEE Trans Med Imaging 1999, 18(12):1178-1187.
    • (1999) IEEE Trans Med Imaging , vol.18 , Issue.12 , pp. 1178-1187
    • Hadjiiski, L.1
  • 111
    • 0031283414 scopus 로고    scopus 로고
    • Measures of acutance and shape for classification of breast tumors
    • Rangayyan RM, et al. Measures of acutance and shape for classification of breast tumors. IEEE Trans Inf Theory 1997, 16(6):799-810.
    • (1997) IEEE Trans Inf Theory , vol.16 , Issue.6 , pp. 799-810
    • Rangayyan, R.M.1
  • 112
    • 0031733057 scopus 로고    scopus 로고
    • Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces
    • Chan HP, et al. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Med Phys 1998, 25:2007.
    • (1998) Med Phys , vol.25 , pp. 2007
    • Chan, H.P.1
  • 113
    • 0037411353 scopus 로고    scopus 로고
    • Automatic classification of clustered microcalcifications by a multiple expert system
    • De Santo M, et al. Automatic classification of clustered microcalcifications by a multiple expert system. Pattern Recognit 2003, 36(7):1467-1477.
    • (2003) Pattern Recognit , vol.36 , Issue.7 , pp. 1467-1477
    • De Santo, M.1
  • 114
    • 0033131710 scopus 로고    scopus 로고
    • Classification of microcalcifications in digital mammograms using trend-oriented radial basis function neural network
    • Tsujii O, Freedman MT, Mun SK Classification of microcalcifications in digital mammograms using trend-oriented radial basis function neural network. Pattern Recognit 1999, 32(5):891-903.
    • (1999) Pattern Recognit , vol.32 , Issue.5 , pp. 891-903
    • Tsujii, O.1    Freedman, M.T.2    Mun, S.K.3
  • 115
    • 0033694673 scopus 로고    scopus 로고
    • Automated classification of clustered microcalcifications into malignant and benign types
    • Veldkamp WJH, et al. Automated classification of clustered microcalcifications into malignant and benign types. Med Phys 2000, 27:2600.
    • (2000) Med Phys , vol.27 , pp. 2600
    • Veldkamp, W.J.H.1
  • 116
    • 33645506500 scopus 로고    scopus 로고
    • Detection of breast lesion regions in ultrasound images using wavelets and order statistics
    • Mogatadakala KV, et al. Detection of breast lesion regions in ultrasound images using wavelets and order statistics. Med Phys 2006, 33:840.
    • (2006) Med Phys , vol.33 , pp. 840
    • Mogatadakala, K.V.1
  • 117
    • 84887622582 scopus 로고    scopus 로고
    • Computer-aided diagnosis of solid breast lesions using an ultrasonic multi-feature analysis procedure
    • Alam S, et al. Computer-aided diagnosis of solid breast lesions using an ultrasonic multi-feature analysis procedure. Bangladesh J Med Phys 2011, 4(1).
    • (2011) Bangladesh J Med Phys , vol.4 , Issue.1
    • Alam, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.