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Volumn 2015-November, Issue , 2015, Pages 797-800

Convolutional neural networks for mammography mass lesion classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; MAMMOGRAPHY; RECEIVER OPERATING CHARACTERISTIC;

EID: 84953238909     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2015.7318482     Document Type: Conference Paper
Times cited : (126)

References (15)
  • 1
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    • Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: A review
    • A. Jalalian, S. B. Mashohor, H. R. Mahmud, M. I. B. Saripan, A. R. B. Ramli, and B. Karasfi, "Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: A review, " Clinical Imaging, vol. 37, no. 3, pp. 420-426, 2013.
    • (2013) Clinical Imaging , vol.37 , Issue.3 , pp. 420-426
    • Jalalian, A.1    Mashohor, S.B.2    Mahmud, H.R.3    Saripan, M.I.B.4    Ramli, A.R.B.5    Karasfi, B.6
  • 6
    • 84903998168 scopus 로고    scopus 로고
    • Breast tissue segmentation and mammographic risk scoring using deep learning
    • (H. Fujita, T. Hara, and C. Muramatsu, eds.) vol. 8539 of Lecture Notes in Computer Science Springer International Publishing
    • K. Petersen, M. Nielsen, P. Diao, N. Karssemeijer, and M. Lillholm, "Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning, " in Breast Imaging (H. Fujita, T. Hara, and C. Muramatsu, eds.), vol. 8539 of Lecture Notes in Computer Science, pp. 88-94, Springer International Publishing, 2014.
    • (2014) Breast Imaging , pp. 88-94
    • Petersen, K.1    Nielsen, M.2    Diao, P.3    Karssemeijer, N.4    Lillholm, M.5
  • 7
    • 84896270629 scopus 로고    scopus 로고
    • A new approach for clustered MCs classification with sparse features learning and TWSVM
    • Jan.
    • X.-S. Zhang, "A new approach for clustered MCs classification with sparse features learning and TWSVM., " The Scientific World Journal, vol. 2014, p. 970287, Jan. 2014.
    • (2014) The Scientific World Journal , vol.2014 , pp. 970287
    • Zhang, X.-S.1
  • 9
    • 84953291700 scopus 로고    scopus 로고
    • Improving the mann-whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
    • N. P. Pérez, M. A. G. López, A. Silva, and I. Ramos, "Improving the mann-whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography, " Artificial Intelligence in Medicine, no. 0, pp.-, 2014.
    • (2014) Artificial Intelligence in Medicine
    • Pérez, N.P.1    López, M.A.G.2    Silva, A.3    Ramos, I.4
  • 14
    • 84857855190 scopus 로고    scopus 로고
    • Random search for hyper-parameter optimization
    • Feb.
    • J. Bergstra and Y. Bengio, "Random search for hyper-parameter optimization, " J. Mach. Learn. Res., vol. 13, pp. 281-305, Feb. 2012.
    • (2012) J. Mach. Learn. Res. , vol.13 , pp. 281-305
    • Bergstra, J.1    Bengio, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.