Advanced deep learning applications in diagnostic pathology-Reference-Cited by-同舟云学术

Advanced deep learning applications in diagnostic pathology

Published:2021 Issue:2 Volume:3 Page:36-42
ISSN:2434-4974
Container-title:Translational and Regulatory Sciences
language:en
Short-container-title:

Author:

KOMURA Daisuke¹,ISHIKAWA Shumpei¹

Affiliation:

1. Department of Preventive Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan

Publisher

AMED iD3 Catalyst Unit

Link

https://www.jstage.jst.go.jp/article/trs/3/2/3_2021-005/_pdf

Reference55 articles.

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3. 3. Cireşan, D. C., Giusti, A., Gambardella, L. M. and Schmidhuber, J. 2013. Mitosis detection in breast cancer histology images with deep neural networks. pp. 411–418. In: Medical Image Computing and Computer-Assisted Intervention International conference on medical image computing and computer-assisted intervention, Springer, Berlin, Heidelberg.

4. 4. Veta, M., van Diest, P. J., Willems, S. M., Wang, H., Madabhushi, A., Cruz-Roa, A., Gonzalez, F., Larsen, A. B., Vestergaard, J. S., Dahl, A. B., Cireşan, D. C., Schmidhuber, J., Giusti, A., Gambardella, L. M., Tek, F. B., Walter, T., Wang, C. W., Kondo, S., Matuszewski, B. J., Precioso, F., Snell, V., Kittler, J., de Campos, T. E., Khan, A. M., Rajpoot, N. M., Arkoumani, E., Lacle, M. M., Viergever, M. A. and Pluim, J. P. 2015. Assessment of algorithms for mitosis detection in breast cancer histopathology images. Med. Image Anal. 20: 237–248.

5. 5. Chen, H., Qi, X., Yu, L. and Heng, P. A. 2016. DCAN: Deep contour-aware networks for accurate gland segmentation. arXiv. Preprint posted Apr 10, 2016. doi. arXiv:1604.02677.

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