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Volumn 10, Issue 5, 2009, Pages 464-471

Comparative analysis of logistic regression, support vector machine and artificial neural network for the differential diagnosis of benign and malignant solid breast tumors by the use of three-dimensional power Doppler imaging

Author keywords

Flow index; Logistic regression analysis; Neural network; Support Vector Machine; Vascularization index; Vascularization flow index

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASPIRATION BIOPSY; BREAST DISEASE; BREAST TUMOR; CONTROLLED STUDY; CYTOLOGY; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DOPPLER ECHOGRAPHY; ECHOMAMMOGRAPHY; HUMAN; HUMAN TISSUE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SOLID TUMOR; SUPPORT VECTOR MACHINE; THREE DIMENSIONAL IMAGING; VASCULARIZATION;

EID: 70349170224     PISSN: 12296929     EISSN: None     Source Type: Journal    
DOI: 10.3348/kjr.2009.10.5.464     Document Type: Article
Times cited : (26)

References (23)
  • 2
    • 0037334670 scopus 로고    scopus 로고
    • Computer-aided diagnosis for 3-dimensional breast ultrasonography
    • Chen DR, Chang RF, Chen WM, Moon WK. Computer-aided diagnosis for 3-dimensional breast ultrasonography. Arch Surg 2003;138:296-302
    • (2003) Arch Surg , vol.138 , pp. 296-302
    • Chen, D.R.1    Chang, R.F.2    Chen, W.M.3    Moon, W.K.4
  • 3
    • 53149120863 scopus 로고    scopus 로고
    • Classification of benign and malignant breast tumors using neural networks and three-dimensional power Doppler ultrasound
    • Kuo SJ, Hsiao YH, Huang YL, Chen DR. Classification of benign and malignant breast tumors using neural networks and three-dimensional power Doppler ultrasound. Ultrasound Obstet Gynecol 2008;32:97-102
    • (2008) Ultrasound Obstet Gynecol , vol.32 , pp. 97-102
    • Kuo, S.J.1    Hsiao, Y.H.2    Huang, Y.L.3    Chen, D.R.4
  • 4
    • 0035188147 scopus 로고    scopus 로고
    • Tissue harmonic imaging sonography of breast lesions: Improved margin analysis, conspicuity, and image quality compared to conventional ultrasound
    • Rosen EL, Soo MS. Tissue harmonic imaging sonography of breast lesions: improved margin analysis, conspicuity, and image quality compared to conventional ultrasound. Clin Imaging 2001;25:379-384
    • (2001) Clin Imaging , vol.25 , pp. 379-384
    • Rosen, E.L.1    Soo, M.S.2
  • 6
    • 0036372790 scopus 로고    scopus 로고
    • Sonographic evaluation of breast nodules: Comparison of conventional, real-time compound, and pulse-inversion harmonic images
    • Seo BK, Oh YW, Kim HR, Kim HW, Kang CH, Lee NJ, et al. Sonographic evaluation of breast nodules: comparison of conventional, real-time compound, and pulse-inversion harmonic images. Korean J Radiol 2002;3:38-44
    • (2002) Korean J Radiol , vol.3 , pp. 38-44
    • Seo, B.K.1    Oh, Y.W.2    Kim, H.R.3    Kim, H.W.4    Kang, C.H.5    Lee, N.J.6
  • 7
    • 37149011972 scopus 로고    scopus 로고
    • Intratumor flow index can predict the malignant potential of breast tumor: Dependent on age and volume
    • Hsiao YH, Kuo SJ, Liang WM, Huang YL, Chen DR. Intratumor flow index can predict the malignant potential of breast tumor: dependent on age and volume. Ultrasound Med Biol 2008;34:88-95
    • (2008) Ultrasound Med Biol , vol.34 , pp. 88-95
    • Hsiao, Y.H.1    Kuo, S.J.2    Liang, W.M.3    Huang, Y.L.4    Chen, D.R.5
  • 8
    • 34147193966 scopus 로고    scopus 로고
    • Solid breast masses: Neural network analysis of vascular features at three-dimensional power Doppler US for benign or malignant classification
    • Chang RF, Huang SF, Moon WK, Lee YH, Chen DR. Solid breast masses: neural network analysis of vascular features at three-dimensional power Doppler US for benign or malignant classification. Radiology 2007;243:56-62
    • (2007) Radiology , vol.243 , pp. 56-62
    • Chang, R.F.1    Huang, S.F.2    Moon, W.K.3    Lee, Y.H.4    Chen, D.R.5
  • 9
    • 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;213:407-412
    • (1999) Radiology , vol.213 , pp. 407-412
    • Chen, D.R.1    Chang, R.F.2    Huang, Y.L.3
  • 11
    • 0036814403 scopus 로고    scopus 로고
    • Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks
    • Chen DR, Chang RF, Kuo WJ, Chen MC, Huang YL. Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks. Ultrasound Med Biol 2002;28:1301-1310
    • (2002) Ultrasound Med Biol , vol.28 , pp. 1301-1310
    • Chen, D.R.1    Chang, R.F.2    Kuo, W.J.3    Chen, M.C.4    Huang, Y.L.5
  • 12
    • 0036254780 scopus 로고    scopus 로고
    • Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: Statistical, neural network and fuzzy approaches
    • Seker H, Odetayo MO, Petrovic D, Naguib RN, Bartoli C, Alasio L, et al. Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: statistical, neural network and fuzzy approaches. Anticancer Res 2002;22:433-438 (Pubitemid 34475335)
    • (2002) Anticancer Research , vol.22 , Issue.1 A , pp. 433-438
    • Seker, H.1    Odetayo, M.O.2    Petrovic, D.3    Naguib, R.N.G.4    Bartoli, C.5    Alasio, L.6    Lakshmi, M.S.7    Sherbet, G.V.8
  • 13
    • 0032710766 scopus 로고    scopus 로고
    • Journey toward computer-aided diagnosis: Role of image texture analysis
    • Tourassi GD. Journey toward computer-aided diagnosis: role of image texture analysis. Radiology 1999;213:317-320
    • (1999) Radiology , vol.213 , pp. 317-320
    • Tourassi, G.D.1
  • 14
    • 11144344411 scopus 로고    scopus 로고
    • Computer-aidied diagnosis of solid breast nodules on ultrasound with digital image processing and artificial neural network
    • Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
    • Joo S, Yang YS, Moon WK, Kim HC. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features. IEEE Trans Med Imaging 2004;23:1292-1300 (Pubitemid 40036052)
    • (2004) Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings , vol.26 II , pp. 1397-1400
    • Joo, S.1    Moon, W.K.2    Kim, H.C.3
  • 15
    • 0037294995 scopus 로고    scopus 로고
    • Breast lesions on sonograms: Computer-aided diagnosis with nearly setting-independent features and artificial neural networks
    • Chen CM, Chou YH, Han KC, Hung GS, Tiu CM, Chiou HJ, et al. Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks. Radiology 2003;226:504-514
    • (2003) Radiology , vol.226 , pp. 504-514
    • Chen, C.M.1    Chou, Y.H.2    Han, K.C.3    Hung, G.S.4    Tiu, C.M.5    Chiou, H.J.6
  • 16
    • 0037306384 scopus 로고    scopus 로고
    • Support vector machines for diagnosis of breast tumors on US images
    • DOI 10.1016/S1076-6332(03)80044-2
    • Chang RF, Wu WJ, Moon WK, Chou YH, Chen DR. Support vector machines for diagnosis of breast tumors on US images. Acad Radiol 2003;10:189-197 (Pubitemid 36150973)
    • (2003) Academic Radiology , vol.10 , Issue.2 , pp. 189-197
    • Chang, R.-F.1    Wu, W.-J.2    Moon, W.K.3    Chou, Y.-H.4    Chen, D.-R.5
  • 17
    • 18044391075 scopus 로고    scopus 로고
    • Support vector machines in sonography: Application to decision making in the diagnosis of breast cancer
    • DOI 10.1016/j.clinimag.2004.08.002
    • Huang YL, Chen DR. Support vector machines in sonography: application to decision making in the diagnosis of breast cancer. Clin Imaging 2005;29:179-184 (Pubitemid 40602801)
    • (2005) Clinical Imaging , vol.29 , Issue.3 , pp. 179-184
    • Huang, Y.-L.1    Chen, D.-R.2
  • 18
    • 34548282645 scopus 로고    scopus 로고
    • Ultrasonographic feature selection and pattern classification for cervical lymph nodes using support vector machines
    • DOI 10.1016/j.cmpb.2007.07.008, PII S016926070700168X
    • Zhang J, Wang Y, Dong Y, Wang Y. Ultrasonographic feature selection and pattern classification for cervical lymph nodes using support vector machines. Comput Methods Programs Biomed 2007;88:75-84 (Pubitemid 47331954)
    • (2007) Computer Methods and Programs in Biomedicine , vol.88 , Issue.1 , pp. 75-84
    • Zhang, J.1    Wang, Y.2    Dong, Y.3    Wang, Y.4
  • 20
    • 0141638529 scopus 로고    scopus 로고
    • Three-dimensional power Doppler ultrasound for the assessment of the fetal brain blood flow in normal gestation
    • DOI 10.1016/S0301-5629(03)00982-7
    • Chang CH, Yu CH, Ko HC, Chen CL, Chang FM. Three-dimensional power Doppler ultrasound for the assessment of the fetal brain blood flow in normal gestation. Ultrasound Med Biol 2003;29:1273-1279 (Pubitemid 37211327)
    • (2003) Ultrasound in Medicine and Biology , vol.29 , Issue.9 , pp. 1273-1279
    • Chang, C.-H.1    Yu, C.-H.2    Ko, H.-C.3    Chen, C.-L.4    Chang, F.-M.5
  • 21
    • 33748793103 scopus 로고    scopus 로고
    • Tumor angiogenesis assessed by three-dimensional power Doppler ultrasound in early, advanced and metastatic ovarian cancer: A preliminary study
    • Alcazar JL. Tumor angiogenesis assessed by three-dimensional power Doppler ultrasound in early, advanced and metastatic ovarian cancer: a preliminary study. Ultrasound Obstet Gynecol 2006;28:325-329
    • (2006) Ultrasound Obstet Gynecol , vol.28 , pp. 325-329
    • Alcazar, J.L.1
  • 22
    • 0038670778 scopus 로고    scopus 로고
    • Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis
    • Chang RF, Wu WJ, Moon WK, Chen DR. Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis. Ultrasound Med Biol 2003;29:679-686
    • (2003) Ultrasound Med Biol , vol.29 , pp. 679-686
    • Chang, R.F.1    Wu, W.J.2    Moon, W.K.3    Chen, D.R.4
  • 23
    • 17044428072 scopus 로고    scopus 로고
    • Comparative analysis of logistic regression and artificial neural network for computer-aided diagnosis of breast masses
    • DOI 10.1016/j.acra.2004.12.016
    • Song JH, Venkatesh SS, Conant EA, Arger PH, Sehgal CM. Comparative analysis of logistic regression and artificial neural network for computer-aided diagnosis of breast masses. Acad Radiol 2005;12:487-495 (Pubitemid 40502907)
    • (2005) Academic Radiology , vol.12 , Issue.4 , pp. 487-495
    • Song, J.H.1    Venkatesh, S.S.2    Conant, E.A.3    Arger, P.H.4    Sehgal, C.M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.