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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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Bibliografiset tiedot
Julkaisussa:Transl Vis Sci Technol
Päätekijät: Fu, Huazhu, Li, Fei, Xu, Yanwu, Liao, Jingan, Xiong, Jian, Shen, Jianbing, Liu, Jiang, Zhang, Xiulan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: The Association for Research in Vision and Ophthalmology 2020
Aiheet:
Linkit: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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