Deep Learning for Automatic Detection of Neural Canal Opening in Optical Coherence Tomography Images

Jia Ling Tu*, Chieh En Lee, Chung Hao Tien

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Neural canal opening was appeared as the crucial landmarks in clinical diagnosis through optical coherence tomography. In this study, we built a deep learning model to segment the optic nerve head and localize the NCOs accordingly.

原文English
主出版物標題2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350350012
DOIs
出版狀態Published - 2022
事件2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Sapparo, Japan
持續時間: 31 7月 20225 8月 2022

出版系列

名字2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings

Conference

Conference2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022
國家/地區Japan
城市Sapparo
期間31/07/225/08/22

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