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Volumn , Issue , 2014, Pages 999-1002

Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology

Author keywords

Breast Cancer Histopathology; Deep learning; Sparse Autoencoder

Indexed keywords

DEEP LEARNING; MEDICAL IMAGING;

EID: 84927942779     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isbi.2014.6868041     Document Type: Conference Paper
Times cited : (91)

References (6)
  • 1
    • 70449334340 scopus 로고    scopus 로고
    • Computer-aided prognosis of er+ breast cancer histopathology and correlating survival outcome with oncotype dx assay
    • IEEE
    • Ajay Basavanhally, Jun Xu, and et al., "Computer-aided prognosis of er+ breast cancer histopathology and correlating survival outcome with oncotype dx assay," in IS-BI'09. IEEE, 2009, pp. 851-854.
    • (2009) IS-BI'09 , pp. 851-854
    • Basavanhally, A.1    Xu, J.2
  • 2
    • 77953803946 scopus 로고    scopus 로고
    • Expectation-maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology
    • Hussain Fatakdawala, Jun Xu, and et al., "Expectation-maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology," TBME, Vol. 57, no. 7, pp. 1676-1689, 2010.
    • (2010) TBME , vol.57 , Issue.7 , pp. 1676-1689
    • Fatakdawala, H.1    Xu, J.2
  • 3
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Geoffrey E Hinton and Ruslan R Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, Vol. 313, no. 5786, pp. 504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 4
    • 84885899176 scopus 로고    scopus 로고
    • Mitosis detection in breast cancer histology images with deep neural networks
    • Springer
    • Dan C. Ciresan and et al., "Mitosis detection in breast cancer histology images with deep neural networks," in MICCAI 2013, Vol. 8150 of LNCS, pp. 411-418. Springer, 2013.
    • (2013) MICCAI 2013, Vol. 8150 of LNCS , pp. 411-418
    • Ciresan, D.C.1
  • 5
    • 84904687441 scopus 로고    scopus 로고
    • Sparse autoencoder
    • Andrew Ng, "Sparse autoencoder," CS294A Lecture notes, p. 72, 2011.
    • (2011) CS294A Lecture Notes , pp. 72
    • Ng, A.1
  • 6
    • 84879854889 scopus 로고    scopus 로고
    • Representation learning: A review and new perspectives
    • Y. Bengio and et al., "Representation learning: A review and new perspectives," TPAMI, Vol. 35, no. 8, pp. 1798-1828, 2013.
    • (2013) TPAMI , vol.35 , Issue.8 , pp. 1798-1828
    • Bengio, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.