A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs

PURPOSE: Optic disc (OD) and optic cup (OC) segmentation are fundamental for fundus image analysis. Manual annotation is time consuming, expensive, and highly subjective, whereas an automated system is invaluable to the medical community. The aim of this study is to develop a deep learning system to...

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Detalles Bibliográficos
Autores principales: Fu, Huazhu, Li, Fei, Xu, Yanwu, Liao, Jingan, Xiong, Jian, Shen, Jianbing, Liu, Jiang, Zhang, Xiulan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414704/
https://www.ncbi.nlm.nih.gov/pubmed/32832206
http://dx.doi.org/10.1167/tvst.9.2.33

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414704/
https://www.ncbi.nlm.nih.gov/pubmed/32832206
http://dx.doi.org/10.1167/tvst.9.2.33

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