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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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| Pubblicato in: | Transl Vis Sci Technol |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Association for Research in Vision and Ophthalmology
2020
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| Soggetti: | |
| Accesso online: | 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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