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Volumn , Issue , 2017, Pages 600-603

Adapting fisher vectors for histopathology image classification

Author keywords

Convolutional Neural Network; Fisher Vector; Image classification; Transfer learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; CONVOLUTION; DIAGNOSIS; EDUCATION; MEDICAL IMAGING; NEURAL NETWORKS;

EID: 85023166662     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2017.7950592     Document Type: Conference Paper
Times cited : (90)

References (16)
  • 1
    • 84896123432 scopus 로고    scopus 로고
    • Weakly supervised histopathology cancer image segmentation and classification
    • Y. Xu, J. Zhu, E. I. Chang, M. Lai, and Z. Tu, "Weakly supervised histopathology cancer image segmentation and classification, " Med. Image Anal., vol. 18, no. 3, pp. 591-604, 2014.
    • (2014) Med. Image Anal , vol.18 , Issue.3 , pp. 591-604
    • Xu, Y.1    Zhu, J.2    Chang, E.I.3    Lai, M.4    Tu, Z.5
  • 2
    • 84922337078 scopus 로고    scopus 로고
    • Empowering multiple instance histopathology cancer diagnosis by cell graphs
    • M. Kandemir, C. Zhang, and F. A. Hamprecht, "Empowering multiple instance histopathology cancer diagnosis by cell graphs, " MICCAI, pp. 228-235, 2014.
    • (2014) MICCAI , pp. 228-235
    • Kandemir, M.1    Zhang, C.2    Hamprecht, F.A.3
  • 3
    • 84911451297 scopus 로고    scopus 로고
    • Classification of histology sections via multispectral convolutional sparse coding
    • Y. Zhou, H. Chang, K. Barner, P. Spellman, and B. Parvin, "Classification of histology sections via multispectral convolutional sparse coding, " CVPR, pp. 3081-3088, 2014.
    • (2014) CVPR , pp. 3081-3088
    • Zhou, Y.1    Chang, H.2    Barner, K.3    Spellman, P.4    Parvin, B.5
  • 4
    • 84947607834 scopus 로고    scopus 로고
    • Automatic diagnosis of ovarian carcinomas via sparse multiresolution tissue representation
    • A. BenTaieb, H. Li-Chang, D. Huntsman, and G. Hamarneh, "Automatic diagnosis of ovarian carcinomas via sparse multiresolution tissue representation, " MICCAI, pp. 629-636, 2015.
    • (2015) MICCAI , pp. 629-636
    • BenTaieb, A.1    Li-Chang, H.2    Huntsman, D.3    Hamarneh, G.4
  • 5
    • 84989954169 scopus 로고    scopus 로고
    • Histopathology image categorization with discriminative dimension reduction of fisher vectors
    • Y. Song, Q. Li, H. Huang, D. Feng, M. Chen, and W. Cai, "Histopathology image categorization with discriminative dimension reduction of fisher vectors, " ECCV Workshops, pp. 306-317, 2016.
    • (2016) ECCV Workshops , pp. 306-317
    • Song, Y.1    Li, Q.2    Huang, H.3    Feng, D.4    Chen, M.5    Cai, W.6
  • 6
    • 85007257318 scopus 로고    scopus 로고
    • Breast cancer histopathological image classification using convolutional neural networks
    • F. Spanhol, L. S. Oliveira, C. Petitjean, and L. Heutte, "Breast cancer histopathological image classification using convolutional neural networks, " IJCNN, pp. 1-8, 2016.
    • (2016) IJCNN , pp. 1-8
    • Spanhol, F.1    Oliveira, L.S.2    Petitjean, C.3    Heutte, L.4
  • 7
    • 84951788063 scopus 로고    scopus 로고
    • Neutrophils identification by deep learning and voronoi diagram of clusters
    • J. Wang, J. D. MacKenzie, R. Ramachandran, and D. Z. Chen, "Neutrophils identification by deep learning and voronoi diagram of clusters, " MICCAI, pp. 226-233, 2015.
    • (2015) MICCAI , pp. 226-233
    • Wang, J.1    MacKenzie, J.D.2    Ramachandran, R.3    Chen, D.Z.4
  • 8
    • 84959431409 scopus 로고    scopus 로고
    • An automatic learning-based framework for robust nucleus segmentation
    • F. Xing, Y. Xie, and L. Yang, "An automatic learning-based framework for robust nucleus segmentation, " IEEE Trans. Med. Imag., vol. 35, no. 2, pp. 550-566, 2016.
    • (2016) IEEE Trans. Med. Imag , vol.35 , Issue.2 , pp. 550-566
    • Xing, F.1    Xie, Y.2    Yang, L.3
  • 9
    • 84878919540 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks, " NIPS, pp. 1-9, 2012.
    • (2012) NIPS , pp. 1-9
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 10
    • 84951761386 scopus 로고    scopus 로고
    • Unregistered multiview mammogram analysis with pre-trained deep learning models
    • G. Carneiro, J. Nascimento, and A. P. Bradley, "Unregistered multiview mammogram analysis with pre-trained deep learning models, " MICCAI, pp. 652-660, 2015.
    • (2015) MICCAI , pp. 652-660
    • Carneiro, G.1    Nascimento, J.2    Bradley, A.P.3
  • 11
    • 84969962996 scopus 로고    scopus 로고
    • Deep convolutional neural networks for computer-aided detection: CNN architecture, dataset characteristics and transfer learning
    • H. Shin, H. R. Roth, M. Gao, L. Lu, Z. Xu, I. Nogues, J. Yao, D. Mollura, and R. M. Summers, "Deep convolutional neural networks for computer-aided detection: CNN architecture, dataset characteristics and transfer learning, " IEEE Trans. Med. Imag., vol. 35, no. 5, pp. 1285-1298, 2016.
    • (2016) IEEE Trans. Med. Imag , vol.35 , Issue.5 , pp. 1285-1298
    • Shin, H.1    Roth, H.R.2    Gao, M.3    Lu, L.4    Xu, Z.5    Nogues, I.6    Yao, J.7    Mollura, D.8    Summers, R.M.9
  • 12
    • 78149348137 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • F. Perronnin, J. Sanchez, and T. Mensink, "Improving the fisher kernel for large-scale image classification, " ECCV, pp. 143-156, 2010.
    • (2010) ECCV , pp. 143-156
    • Perronnin, F.1    Sanchez, J.2    Mensink, T.3
  • 13
    • 84978091692 scopus 로고    scopus 로고
    • A dataset for breast cancer histopathological image classification
    • F. Spanhol, L. S. Oliveira, C. Petitjean, and L. Heutte, "A dataset for breast cancer histopathological image classification, " IEEE Trans. Biomed. Eng, vol. 63, no. 7, pp. 1455-1462, 2016.
    • (2016) IEEE Trans. Biomed. Eng , vol.63 , Issue.7 , pp. 1455-1462
    • Spanhol, F.1    Oliveira, L.S.2    Petitjean, C.3    Heutte, L.4
  • 14
    • 84950120533 scopus 로고    scopus 로고
    • Deep filter banks for texture recognition and segmentation
    • M. Cimpoi, S. Maji, and A. Vedaldi, "Deep filter banks for texture recognition and segmentation, " CVPR, pp. 3828-3836, 2015.
    • (2015) CVPR , pp. 3828-3836
    • Cimpoi, M.1    Maji, S.2    Vedaldi, A.3
  • 15
    • 85083953063 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • arXiv: 1409. 1556
    • K. Simonyan and A. Zisserman, "Very deep convolutional networks for large-scale image recognition, " ICLR, arXiv: 1409. 1556, 2015.
    • (2015) ICLR
    • Simonyan, K.1    Zisserman, A.2
  • 16
    • 84986277601 scopus 로고    scopus 로고
    • Visualizing and understanding deep texture representations
    • T. Lin and S. Maji, "Visualizing and understanding deep texture representations, " CVPR, pp. 2791-2799, 2016.
    • (2016) CVPR , pp. 2791-2799
    • Lin, T.1    Maji, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.