@inproceedings{5de28eb1bc564720805869a0d73bb485,
title = "Deep Learning for Automatic Detection of Neural Canal Opening in Optical Coherence Tomography Images",
abstract = "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.",
author = "Tu, {Jia Ling} and Lee, {Chieh En} and Tien, {Chung Hao}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 ; Conference date: 31-07-2022 Through 05-08-2022",
year = "2022",
doi = "10.1109/CLEO-PR62338.2022.10432359",
language = "English",
series = "2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings",
address = "United States",
}