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Volumn 2015, Issue 1, 2015, Pages

Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method

Author keywords

Computer aided diagnosis; Microcalcification cluster; Microcalcification detection; Possibilistic fuzzy c means; Support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; FUZZY SYSTEMS; IMAGE PROCESSING; IMAGE SEGMENTATION; MAMMOGRAPHY; SUPPORT VECTOR MACHINES; TESTING; X RAY SCREENS;

EID: 84938944273     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1186/s13634-015-0249-3     Document Type: Article
Times cited : (33)

References (46)
  • 3
    • 0001822128 scopus 로고    scopus 로고
    • Current issues in CAD for mammography
    • Elsevier, Philadelphia
    • M Giger, Current issues in CAD for mammography, in Digital Mammography (Elsevier, Philadelphia, 1996), pp. 53–59
    • (1996) Digital Mammography , pp. 53-59
    • Giger, M.1
  • 4
    • 3242748896 scopus 로고    scopus 로고
    • Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate? Initial experience 1
    • SV Destounis, P DiNitto, W Logan-Young, E Bonaccio, ML Zuley, KM Willison, Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate? Initial experience 1. Radiology 232, 578–584 (2004)
    • (2004) Radiology , vol.232 , pp. 578-584
    • Destounis, S.V.1    DiNitto, P.2    Logan-Young, W.3    Bonaccio, E.4    Zuley, M.L.5    Willison, K.M.6
  • 5
    • 63349107095 scopus 로고    scopus 로고
    • Computer-aided detection and diagnosis of breast cancer with mammography: recent advances
    • J Tang, RM Rangayyan, J Xu, I El Naqa, Y Yang, Computer-aided detection and diagnosis of breast cancer with mammography: recent advances. IEEE Trans. Inf. Technol. Biomed. 13, 236–251 (2009)
    • (2009) IEEE Trans. Inf. Technol. Biomed. , vol.13 , pp. 236-251
    • Tang, J.1    Rangayyan, R.M.2    Xu, J.3    El Naqa, I.4    Yang, Y.5
  • 6
    • 84921048023 scopus 로고    scopus 로고
    • A new automatic mass detection method for breast cancer with false positive reduction
    • X Liu, Z Zeng, A new automatic mass detection method for breast cancer with false positive reduction. Neurocomputing 152, 388–402 (2015)
    • (2015) Neurocomputing , vol.152 , pp. 388-402
    • Liu, X.1    Zeng, Z.2
  • 7
    • 84907600379 scopus 로고    scopus 로고
    • Mass classification in mammograms using selected geometry and texture features, and a new SVM-based feature selection method
    • X Liu, J Tang, Mass classification in mammograms using selected geometry and texture features, and a new SVM-based feature selection method. IEEE Syst. J. 8, 910–920 (2014)
    • (2014) IEEE Syst. J. , vol.8 , pp. 910-920
    • Liu, X.1    Tang, J.2
  • 8
    • 0142120449 scopus 로고    scopus 로고
    • Computer-aided detection and classification of microcalcifications in mammograms: a survey
    • H-D Cheng, X Cai, X Chen, L Hu, X Lou, Computer-aided detection and classification of microcalcifications in mammograms: a survey. Patt. Recog. 36, 2967–2991 (2003)
    • (2003) Patt. Recog. , vol.36 , pp. 2967-2991
    • Cheng, H.-D.1    Cai, X.2    Chen, X.3    Hu, L.4    Lou, X.5
  • 9
    • 0031240174 scopus 로고    scopus 로고
    • Adaptive mammographic image enhancement using first derivative and local statistics
    • JK Kim, JM Park, KS Song, H Park, Adaptive mammographic image enhancement using first derivative and local statistics. IEEE Trans. Med. Imaging 16, 495–502 (1997)
    • (1997) IEEE Trans. Med. Imaging , vol.16 , pp. 495-502
    • Kim, J.K.1    Park, J.M.2    Song, K.S.3    Park, H.4
  • 11
    • 62349115731 scopus 로고    scopus 로고
    • A direct image contrast enhancement algorithm in the wavelet domain for screening mammograms
    • J Tang, X Liu, Q Sun, A direct image contrast enhancement algorithm in the wavelet domain for screening mammograms. IEEE J. Sel. Top. Sign. Proces. 3, 74–80 (2009)
    • (2009) IEEE J. Sel. Top. Sign. Proces. , vol.3 , pp. 74-80
    • Tang, J.1    Liu, X.2    Sun, Q.3
  • 12
    • 84869088924 scopus 로고    scopus 로고
    • A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms
    • P Ramírez-Cobo, B Vidakovic, A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms. Comput. Stat. Data. An. 58, 71–81 (2013)
    • (2013) Comput. Stat. Data. An. , vol.58 , pp. 71-81
    • Ramírez-Cobo, P.1    Vidakovic, B.2
  • 14
    • 33746746440 scopus 로고    scopus 로고
    • Computer aided detection of clusters of microcalcifications on full field digital mammograms
    • J Ge, B Sahiner, LM Hadjiiski, HP Chan, J Wei, MA Helvie, C Zhou, Computer aided detection of clusters of microcalcifications on full field digital mammograms. Med. Phys. 33, 2975–2988 (2006)
    • (2006) Med. Phys. , vol.33 , pp. 2975-2988
    • Ge, J.1    Sahiner, B.2    Hadjiiski, L.M.3    Chan, H.P.4    Wei, J.5    Helvie, M.A.6    Zhou, C.7
  • 15
    • 81555214178 scopus 로고    scopus 로고
    • Texture-based analysis of clustered microcalcifications detected on mammograms
    • A Tiedeu, C Daul, A Kentsop, P Graebling, D Wolf, Texture-based analysis of clustered microcalcifications detected on mammograms. Digit. Signal Process. 22, 124–132 (2012)
    • (2012) Digit. Signal Process. , vol.22 , pp. 124-132
    • Tiedeu, A.1    Daul, C.2    Kentsop, A.3    Graebling, P.4    Wolf, D.5
  • 17
    • 84865540205 scopus 로고    scopus 로고
    • A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine
    • E Malar, A Kandaswamy, D Chakravarthy, A Giri Dharan, A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine. Comput. Biol. Med. 42, 898–905 (2012)
    • (2012) Comput. Biol. Med. , vol.42 , pp. 898-905
    • Malar, E.1    Kandaswamy, A.2    Chakravarthy, D.3    Giri Dharan, A.4
  • 24
    • 4544361200 scopus 로고    scopus 로고
    • Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms
    • H Soltanian-Zadeh, F Rafiee-Rad, S Pourabdollah-Nejad D, Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms. Patt. Recog. 37, 1973–1986 (2004)
    • (2004) Patt. Recog. , vol.37 , pp. 1973-1986
    • Soltanian-Zadeh, H.1    Rafiee-Rad, F.2    Pourabdollah-Nejad D, S.3
  • 26
    • 84855776735 scopus 로고    scopus 로고
    • Classification of breast mass in mammography with an improved level set segmentation by combining morphological features and texture features
    • Springer, New York
    • J Tang, X Liu, Classification of breast mass in mammography with an improved level set segmentation by combining morphological features and texture features, in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies (Springer, New York, 2011), pp. 119–135
    • (2011) Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies , pp. 119-135
    • Tang, J.1    Liu, X.2
  • 27
    • 52649131914 scopus 로고    scopus 로고
    • Minimization of region-scalable fitting energy for image segmentation
    • C Li, C-Y Kao, JC Gore, Z Ding, Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Processing 17, 1940–1949 (2008)
    • (2008) IEEE Trans. Image Processing , vol.17 , pp. 1940-1949
    • Li, C.1    Kao, C.-Y.2    Gore, J.C.3    Ding, Z.4
  • 29
    • 0027850153 scopus 로고
    • Classifying mammographic lesions using computerized image analysis
    • J Kilday, F Palmieri, M Fox, Classifying mammographic lesions using computerized image analysis. IEEE Trans. Med. Imaging 12, 664–669 (1993)
    • (1993) IEEE Trans. Med. Imaging , vol.12 , pp. 664-669
    • Kilday, J.1    Palmieri, F.2    Fox, M.3
  • 30
    • 0034917794 scopus 로고    scopus 로고
    • Improvement of mammographic mass characterization using spiculation measures and morphological features
    • B Sahiner, H-P Chan, N Petrick, MA Helvie, LM Hadjiiski, Improvement of mammographic mass characterization using spiculation measures and morphological features. Med. Phys. 28, 1455–1465 (2001)
    • (2001) Med. Phys. , vol.28 , pp. 1455-1465
    • Sahiner, B.1    Chan, H.-P.2    Petrick, N.3    Helvie, M.A.4    Hadjiiski, L.M.5
  • 31
    • 24344463437 scopus 로고    scopus 로고
    • Image segmentation feature selection and pattern classification for mammographic microcalcifications
    • J Fu, S-K Lee, ST Wong, J-Y Yeh, A-H Wang, H Wu, Image segmentation feature selection and pattern classification for mammographic microcalcifications. Comput. Med. Imaging Graph. 29, 419–429 (2005)
    • (2005) Comput. Med. Imaging Graph. , vol.29 , pp. 419-429
    • Fu, J.1    Lee, S.-K.2    Wong, S.T.3    Yeh, J.-Y.4    Wang, A.-H.5    Wu, H.6
  • 34
    • 77956137333 scopus 로고    scopus 로고
    • Tang, A benign and malignant mass classification algorithm based on an improved level set segmentation and texture feature analysis, in 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)
    • X Liu, J Liu, D Zhou, J Tang, A benign and malignant mass classification algorithm based on an improved level set segmentation and texture feature analysis, in 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE), Chengdu, 18-20 June 2010, pp. 1–4
    • (2010) Chengdu , vol.18-20 , pp. 1-4
    • X Liu, J.1    Liu, D.2    Zhou, J.3
  • 37
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R Kohavi, GH John, Wrappers for feature subset selection. Artif. Intell. 97, 273–324 (1997)
    • (1997) Artif. Intell. , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 38
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • H Peng, F Long, C Ding, Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Patt. Anal. Mach. Int. 27, 1226–1238 (2005)
    • (2005) IEEE Trans. Patt. Anal. Mach. Int. , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 39
    • 12244303260 scopus 로고    scopus 로고
    • Incorporating prior knowledge with weighted margin support vector machines
    • X Wu, R Srihari, Incorporating prior knowledge with weighted margin support vector machines, in Proceedings of the Tenth ACM SIGKDD, 2004, pp. 326–333
    • (2004) Proceedings of the Tenth ACM SIGKDD , pp. 326-333
    • Wu, X.1    Srihari, R.2
  • 40
    • 0032942769 scopus 로고    scopus 로고
    • Evaluating the performance of detection algorithms in digital mammography
    • M Kallergi, GM Carney, J Gaviria, Evaluating the performance of detection algorithms in digital mammography. Med. Phys. 26, 267–275 (1999)
    • (1999) Med. Phys. , vol.26 , pp. 267-275
    • Kallergi, M.1    Carney, G.M.2    Gaviria, J.3
  • 41
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines
    • C-C Chang, C-J Lin, LIBSVM: a library for support vector machines. ACM T. Intel. Syst. Tec. 2, 1–27 (2011)
    • (2011) ACM T. Intel. Syst. Tec. , vol.2 , pp. 1-27
    • Chang, C.-C.1    Lin, C.-J.2
  • 42
    • 34147141888 scopus 로고    scopus 로고
    • Contrast enhancement in dense breast images to aid clustered microcalcifications detection
    • FL Nunes, H Schiabel, CE Goes, Contrast enhancement in dense breast images to aid clustered microcalcifications detection. J. Digit. Imaging 20, 53–66 (2007)
    • (2007) J. Digit. Imaging , vol.20 , pp. 53-66
    • Nunes, F.L.1    Schiabel, H.2    Goes, C.E.3
  • 43
    • 53049094780 scopus 로고    scopus 로고
    • Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques
    • A Papadopoulos, DI Fotiadis, L Costaridou, Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques. Comput. Biol. Med. 38, 1045–1055 (2008)
    • (2008) Comput. Biol. Med. , vol.38 , pp. 1045-1055
    • Papadopoulos, A.1    Fotiadis, D.I.2    Costaridou, L.3
  • 44
    • 33751331661 scopus 로고    scopus 로고
    • A biologically inspired algorithm for microcalcification cluster detection
    • MG Linguraru, K Marias, R English, M Brady, A biologically inspired algorithm for microcalcification cluster detection. Med. Image Anal. 10, 850–862 (2006)
    • (2006) Med. Image Anal. , vol.10 , pp. 850-862
    • Linguraru, M.G.1    Marias, K.2    English, R.3    Brady, M.4
  • 46
    • 34247150397 scopus 로고    scopus 로고
    • Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms
    • J Ge, LM Hadjiiski, B Sahiner, J Wei, MA Helvie, C Zhou, HP Chan, Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms. Phys. Med. Biol. 52, 981–1000 (2007)
    • (2007) Phys. Med. Biol. , vol.52 , pp. 981-1000
    • Ge, J.1    Hadjiiski, L.M.2    Sahiner, B.3    Wei, J.4    Helvie, M.A.5    Zhou, C.6    Chan, H.P.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.