메뉴 건너뛰기




Volumn , Issue , 2009, Pages 185-189

Soft clustering and support vector machine based technique for the classification of abnormalities in digital mammograms

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATABASE; CLUSTERING MECHANISM; DIGITAL MAMMOGRAMS; GENERALIZATION ABILITY; NOVEL TECHNIQUES; SOFT CLUSTERING;

EID: 77950920373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSNIP.2009.5416794     Document Type: Conference Paper
Times cited : (2)

References (21)
  • 2
    • 32044457119 scopus 로고    scopus 로고
    • Approaches for automated detection and classification of masses in mammograms
    • DOI 10.1016/j.patcog.2005.07.006, PII S0031320305002955, Graph-Based Representations
    • H. Cheng, X. Shi, R. Min, L. Ju, X. Cai, H. Du, Approaches for automated detection and classification of masses in mammograms, Pattern Recognition, 39 (4) (2006) 646-668. (Pubitemid 43199461)
    • (2006) Pattern Recognition , vol.39 , Issue.4 , pp. 646-668
    • Cheng, H.D.1    Shi, X.J.2    Min, R.3    Hu, L.M.4    Cai, X.P.5    Du, H.N.6
  • 3
    • 33746901239 scopus 로고    scopus 로고
    • The use of artificial neural networks in decision support in cancer: A systematic review
    • P. Lisboa, A. Taktak, The use of artificial neural networks in decision support in cancer: A systematic review, Neural Networks 19 (2006) 408-415.
    • (2006) Neural Networks , vol.19 , pp. 408-415
    • Lisboa, P.1    Taktak, A.2
  • 4
    • 0036127092 scopus 로고    scopus 로고
    • A review of evidence of health benefit from artificial neural networks in medical intervention
    • P. Lisboa, A review of evidence of health benefit from artificial neural networks in medical intervention, Neural Networks 15 (2002) 11-39.
    • (2002) Neural Networks , vol.15 , pp. 11-39
    • Lisboa, P.1
  • 5
    • 67349156354 scopus 로고    scopus 로고
    • A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
    • B. Verma, P. McLeod, A. Klevansky, A novel soft cluster neural network for the classification of suspicious areas in digital mammograms, Pattern Recognition 22 (9) (2009) 1845-1852.
    • (2009) Pattern Recognition , vol.22 , Issue.9 , pp. 1845-1852
    • Verma, B.1    McLeod, P.2    Klevansky, A.3
  • 7
    • 33645502136 scopus 로고    scopus 로고
    • Computer-aided detection, in its present form, is not an effective aid for screening mammography
    • R. Nishikawa, M. Kallergi, Computer-aided detection, in its present form, is not an effective aid for screening mammography, Medical Physics 33 (2006) 811-814.
    • (2006) Medical Physics , vol.33 , pp. 811-814
    • Nishikawa, R.1    Kallergi, M.2
  • 8
    • 62849094791 scopus 로고    scopus 로고
    • The performance of computer-aided detection when analysing prior mammograms of newly detected breast cancers with special focus on the time interval from initial imaging to detection
    • A. Malich, S. Schmidt, D. Fischer, M. Facius, W. Kaiser, The performance of computer-aided detection when analysing prior mammograms of newly detected breast cancers with special focus on the time interval from initial imaging to detection, European Journal of Radiology 69 (3) (2008) 574-578.
    • (2008) European Journal of Radiology , vol.69 , Issue.3 , pp. 574-578
    • Malich, A.1    Schmidt, S.2    Fischer, D.3    Facius, M.4    Kaiser, W.5
  • 9
    • 0036083110 scopus 로고    scopus 로고
    • A hybrid projection based on radial basis function architecture: Initial values and global optimization
    • S. Cohen, N. Intrator, A hybrid projection based on radial basis function architecture: initial values and global optimization, Pattern Analysis and Applications 5 (2) (2002) 113-120.
    • (2002) Pattern Analysis and Applications , vol.5 , Issue.2 , pp. 113-120
    • Cohen, S.1    Intrator, N.2
  • 11
    • 33748437938 scopus 로고    scopus 로고
    • Evolutionary system for automatically constructing and adapting radial basis function networks
    • D. Manrique, J. Rios, A. Rodriguez-Paton, Evolutionary system for automatically constructing and adapting radial basis function networks, Neurocomputing 69 (2006) 2268-2283.
    • (2006) Neurocomputing , vol.69 , pp. 2268-2283
    • Manrique, D.1    Rios, J.2    Rodriguez-Paton, A.3
  • 12
    • 33947383729 scopus 로고    scopus 로고
    • Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks
    • S. Halkiotis, T. Botsis, M. Rangoussi, Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks, Signal Processing 87 (2007) 1559-1568.
    • (2007) Signal Processing , vol.87 , pp. 1559-1568
    • Halkiotis, S.1    Botsis, T.2    Rangoussi, M.3
  • 13
  • 14
    • 33845480542 scopus 로고    scopus 로고
    • Computerized detection of breast masses in digitized mammograms
    • C. Varela, P. Tahoces, A. Mendez, M. Souto, J. Vidal, Computerized detection of breast masses in digitized mammograms, Comput Biol Med 37 (2) (2007) 214-216.
    • (2007) Comput Biol Med , vol.37 , Issue.2 , pp. 214-216
    • Varela, C.1    Tahoces, P.2    Mendez, A.3    Souto, M.4    Vidal, J.5
  • 15
    • 54949158747 scopus 로고    scopus 로고
    • Computer-based identification of breast cancer using digitized mammograms
    • R. Acharya, U. Ng, Y. Chang, J. Yang, G. Kaw, Computer-based identification of breast cancer using digitized mammograms, Journal of Medical Systems 32 (6) (2008) 499-507.
    • (2008) Journal of Medical Systems , vol.32 , Issue.6 , pp. 499-507
    • Acharya, R.1    Ng, U.2    Chang, Y.3    Yang, J.4    Kaw, G.5
  • 16
    • 37649010087 scopus 로고    scopus 로고
    • Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms
    • B. Verma, Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms, Artificial Intelligence in Medicine 42 (1) (2008) 67-79.
    • (2008) Artificial Intelligence in Medicine , vol.42 , Issue.1 , pp. 67-79
    • Verma, B.1
  • 19
    • 23444461386 scopus 로고    scopus 로고
    • Content-based retrieval and analysis of mammographic masses
    • DOI 10.1117/1.1902996, 023016
    • H. Alto, R. Rangayyan, J. Desautels, Content-based retrieval and analysis of mammographic masses, Journal of Electronic Imaging 14 (023016) (2005) 1-17. (Pubitemid 41107476)
    • (2005) Journal of Electronic Imaging , vol.14 , Issue.2 , pp. 1-17
    • Alto, H.1    Rangayyan, R.M.2    Desautels, J.E.L.3
  • 20
    • 33744548422 scopus 로고    scopus 로고
    • Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features
    • viewed 12 January 2008, doi:10.1117/1.2178271
    • T. Andre, R. Rangayyan, Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features, Journal of Electronic Imaging 15 (1) (2006), viewed 12 January 2008, doi:10.1117/1.2178271.
    • (2006) Journal of Electronic Imaging , vol.15 , Issue.1
    • Andre, T.1    Rangayyan, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.