Predicting Central Serous Chorioretinopathy Recurrence Using Machine Learning

Predicting Central Serous Chorioretinopathy Recurrence Using Machine Learning

Purpose: To predict central serous chorioretinopathy (CSC) recurrence 3 and 6 months after laser treatment by using machine learning.Methods: Clinical and imaging features of 461 patients (480 eyes) with CSC were collected at Zhongshan Ophthalmic Center (ZOC) and Xiamen Eye Center (XEC). The ZOC dat...

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Auteurs principaux: Fabao Xu, Cheng Wan, Lanqin Zhao, Qijing You, Yifan Xiang, Lijun Zhou, Zhongwen Li, Songjian Gong, Yi Zhu, Chuan Chen, Cong Li, Li Zhang, Chong Guo, Longhui Li, Yajun Gong, Xiayin Zhang, Kunbei Lai, Chuangxin Huang, Hongkun Zhao, Daniel Ting, Chenjin Jin, Haotian Lin
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
Sujets:
machine learning
central serous chorioretinopathy
recurrence
optical coherence tomography
imaging features
Physiology
QP1-981
Accès en ligne:https://doaj.org/article/19b347d7827245babbc9eef69ce85087
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https://doaj.org/article/19b347d7827245babbc9eef69ce85087

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