Predicting subretinal fluid absorption with machine learning in patients with central serous chorioretinopathy

BACKGROUND: Machine learning was used to predict subretinal fluid absorption (SFA) at 1, 3 and 6 months after laser treatment in patients with central serous chorioretinopathy (CSC). METHODS: The clinical and imaging data from 480 eyes of 461 patients with CSC were collected at Zhongshan Ophthalmic...

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Detalles Bibliográficos
Autores principales: Xu, Fabao, Xiang, Yifan, Wan, Cheng, You, Qijing, Zhou, Lijun, Li, Cong, Gong, Songjian, Gong, Yajun, Li, Longhui, Li, Zhongwen, Zhang, Li, Zhang, Xiayin, Guo, Chong, Lai, Kunbei, Huang, Chuangxin, Zhao, Hongkun, Jin, Chenjin, Lin, Haotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940879/
https://www.ncbi.nlm.nih.gov/pubmed/33708869
http://dx.doi.org/10.21037/atm-20-1519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940879/
https://www.ncbi.nlm.nih.gov/pubmed/33708869
http://dx.doi.org/10.21037/atm-20-1519

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