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Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

Artificial intelligence (AI)-based automated classification and segmentation of optical coherence tomography (OCT) features have become increasingly popular. However, its 3-dimensional volumetric nature has made developing an algorithm that generalizes across all patient populations and OCT devices...

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Bibliografiske detaljer
Udgivet i:Transl Vis Sci Technol
Main Authors: Yanagihara, Ryan T., Lee, Cecilia S., Ting, Daniel Shu Wei, Lee, Aaron Y.
Format: Artigo
Sprog:Inglês
Udgivet: The Association for Research in Vision and Ophthalmology 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7347025/
https://ncbi.nlm.nih.gov/pubmed/32704417
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.11
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