Deep Learning Models for Segmenting Non-perfusion Area of Color Fundus Photographs in Patients With Branch Retinal Vein Occlusion

PURPOSE: To develop artificial intelligence (AI)-based deep learning (DL) models for automatically detecting the ischemia type and the non-perfusion area (NPA) from color fundus photographs (CFPs) of patients with branch retinal vein occlusion (BRVO). METHODS: This was a retrospective analysis of 27...

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Detalles Bibliográficos
Autores principales: Miao, Jinxin, Yu, Jiale, Zou, Wenjun, Su, Na, Peng, Zongyi, Wu, Xinjing, Huang, Junlong, Fang, Yuan, Yuan, Songtao, Xie, Ping, Huang, Kun, Chen, Qiang, Hu, Zizhong, Liu, Qinghuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279621/
https://www.ncbi.nlm.nih.gov/pubmed/35847781
http://dx.doi.org/10.3389/fmed.2022.794045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279621/
https://www.ncbi.nlm.nih.gov/pubmed/35847781
http://dx.doi.org/10.3389/fmed.2022.794045

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