Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization-Reference-Cited by-同舟云学术

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Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization

Published:2019 Issue: Volume: Page:156-164
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Wang Weisen,Xu Zhiyan,Yu Weihong,Zhao Jianchun,Yang Jingyuan,He Feng,Yang Zhikun,Chen Di,Ding Dayong,Chen Youxin,Li Xirong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32239-7_18

Reference17 articles.

1. Burlina, P., Freund, D.E., Joshi, N., Wolfson, Y., Bressler, N.M.: Detection of age-related macular degeneration via deep learning. In: ISBI (2016)

2. Burlina, P.M., Joshi, N., Pekala, M., Pacheco, K.D., Freund, D.E., Bressler, N.M.: Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks. JAMA Ophthalmol. 135(11), 1170–1176 (2017)

3. Burlina, P., Pacheco, K.D., Joshi, N., Freund, D.E., Bressler, N.M.: Comparing humans and deep learning performance for grading AMD: a study in using universal deep features and transfer learning for automated AMD analysis. Comput. Biol. Med. 82, 80–86 (2017)

4. Feichtenhofer, C., Pinz, A., Zisserman, A.: Convolutional two-stream network fusion for video action recognition. In: CVPR (2016)

5. Ferris, F.L., et al.: Clinical classification of age-related macular degeneration. Ophthalmology 120(4), 844–851 (2013)

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