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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Detalhes bibliográficos
Publicado no:Transl Vis Sci Technol
Main Authors: Fu, Huazhu, Li, Fei, Xu, Yanwu, Liao, Jingan, Xiong, Jian, Shen, Jianbing, Liu, Jiang, Zhang, Xiulan
Formato: Artigo
Idioma:Inglês
Publicado em: The Association for Research in Vision and Ophthalmology 2020
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Special Issue
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7414704/
https://ncbi.nlm.nih.gov/pubmed/32832206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.33
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