Classification of optical coherence tomography images using a capsule network
Abstract Background Classification of optical coherence tomography (OCT) images can be achieved with high accuracy using classical convolution neural networks (CNN), a commonly used deep learning network for computer-aided diagnosis. Classical CNN has often been criticized for suppressing positional...
Main Authors: | Takumasa Tsuji, Yuta Hirose, Kohei Fujimori, Takuya Hirose, Asuka Oyama, Yusuke Saikawa, Tatsuya Mimura, Kenshiro Shiraishi, Takenori Kobayashi, Atsushi Mizota, Jun’ichi Kotoku |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-03-01
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Series: | BMC Ophthalmology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12886-020-01382-4 |
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