Evaluation of a computer-aided diagnostic model for corneal diseases by analyzing in vivo confocal microscopy images

Evaluation of a computer-aided diagnostic model for corneal diseases by analyzing in vivo confocal microscopy images

ObjectiveIn order to automatically and rapidly recognize the layers of corneal images using in vivo confocal microscopy (IVCM) and classify them into normal and abnormal images, a computer-aided diagnostic model was developed and tested based on deep learning to reduce physicians’ workload.MethodsA...

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Bibliographic Details
Main Authors: Yulin Yan, Weiyan Jiang, Yiwen Zhou, Yi Yu, Linying Huang, Shanshan Wan, Hongmei Zheng, Miao Tian, Huiling Wu, Li Huang, Lianlian Wu, Simin Cheng, Yuelan Gao, Jiewen Mao, Yujin Wang, Yuyu Cong, Qian Deng, Xiaoshuo Shi, Zixian Yang, Qingmei Miao, Biqing Zheng, Yujing Wang, Yanning Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Medicine
Subjects:
deep learning
IVCM
ophthalmology
cornea
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1164188/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1164188/full

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