메뉴 건너뛰기




Volumn 2018-January, Issue , 2017, Pages 82-89

Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; COMPUTER VISION; CONVOLUTION; CYTOLOGY; DEEP NEURAL NETWORKS; DIAGNOSIS; DISEASES; NETWORK ARCHITECTURE;

EID: 85046261624     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2017.18     Document Type: Conference Paper
Times cited : (60)

References (21)
  • 5
    • 84958589374 scopus 로고    scopus 로고
    • Deep residual learning for image recognition
    • abs/1512.03385
    • K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. CoRR, abs/1512.03385, 2015.
    • (2015) CoRR
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 7
    • 84946590546 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • abs/1502.03167
    • S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. CoRR, abs/1502.03167, 2015.
    • (2015) CoRR
    • Ioffe, S.1    Szegedy, C.2
  • 8
    • 85083951076 scopus 로고    scopus 로고
    • Adam: A method for stochastic optimization
    • abs/1412.6980
    • D. P. Kingma and J. Ba. Adam: A method for stochastic optimization. CoRR, abs/1412.6980, 2014.
    • (2014) CoRR
    • Kingma, D.P.1    Ba, J.2
  • 10
    • 84919941026 scopus 로고    scopus 로고
    • A structural texture approach for characterising malignancy associated changes in pap smears based on mean-shift and the watershed transform
    • Aug.
    • A. Mehnert, R. Moshavegh, K. Sujathan, P. Malm, and E. Bengtsson. A structural texture approach for characterising malignancy associated changes in pap smears based on mean-shift and the watershed transform. In 2014 22nd International Conference on Pattern Recognition, pages 1189-1193, Aug 2014.
    • (2014) 2014 22nd International Conference on Pattern Recognition , pp. 1189-1193
    • Mehnert, A.1    Moshavegh, R.2    Sujathan, K.3    Malm, P.4    Bengtsson, E.5
  • 15
    • 84933585162 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • abs/1409.1556
    • K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014.
    • (2014) CoRR
    • Simonyan, K.1    Zisserman, A.2
  • 16
    • 65649138430 scopus 로고    scopus 로고
    • A systematic analysis of performance measures for classification tasks
    • M. Sokolova and G. Lapalme. A systematic analysis of performance measures for classification tasks. Information Processing and Management, 45(4):427-437, 2009.
    • (2009) Information Processing and Management , vol.45 , Issue.4 , pp. 427-437
    • Sokolova, M.1    Lapalme, G.2
  • 18
    • 85028984678 scopus 로고    scopus 로고
    • WHO. Accessed: 2017-07-03
    • WHO. Cervical cancer. http://www.who.int/cancer/prevention/diagnosis-screening/cervical-cancer/en/, 2017. Accessed: 2017-07-03.
    • (2017) Cervical Cancer
  • 20
    • 84896459209 scopus 로고    scopus 로고
    • International Agency for Research on Cancer/World Health Organization
    • S. W. Wild P.C. World Cancer Report 2014. International Agency for Research on Cancer/World Health Organization, 2014.
    • (2014) World Cancer Report 2014
    • Wild, S.W.P.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.