A multi-center study of prediction of macular hole status after vitrectomy and internal limiting membrane peeling by a deep learning model

BACKGROUND: To develop a deep learning (DL) model for prediction of idiopathic macular hole (MH) status after vitrectomy and internal limiting membrane peeling (VILMP) based on optical coherence tomography (OCT) images from four ophthalmic centers. METHODS: Eyes followed up at 1 month after VILMP fo...

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Detalles Bibliográficos
Autores principales: Hu, Yijun, Xiao, Yu, Quan, Wuxiu, Zhang, Bin, Wu, Yuqing, Wu, Qiaowei, Liu, Baoyi, Zeng, Xiaomin, Fang, Ying, Hu, Yu, Feng, Songfu, Yuan, Ling, Li, Tao, Cai, Hongmin, Yu, Honghua
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/PMC7859800/
https://www.ncbi.nlm.nih.gov/pubmed/33553344
http://dx.doi.org/10.21037/atm-20-1789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859800/
https://www.ncbi.nlm.nih.gov/pubmed/33553344
http://dx.doi.org/10.21037/atm-20-1789

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