Performance of Deep Transfer Learning for Detecting Abnormal Fundus Images

PURPOSE: To develop and validate a deep transfer learning (DTL) algorithm for detecting abnormalities in fundus images from non-mydriatic fundus photography examinations. METHODS: A total of 1295 fundus images were collected to develop and validate a DTL algorithm for detecting abnormal fundus image...

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Detalles Bibliográficos
Autores principales: Yu, Yan, Chen, Xiao, Zhu, XiangBing, Zhang, PengFei, Hou, YinFen, Zhang, RongRong, Wu, ChangFan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861106/
https://www.ncbi.nlm.nih.gov/pubmed/33553839
http://dx.doi.org/10.4103/JOCO.JOCO_123_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861106/
https://www.ncbi.nlm.nih.gov/pubmed/33553839
http://dx.doi.org/10.4103/JOCO.JOCO_123_20

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