Deep-Learning–Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study

PURPOSE: Artificial intelligence (AI) deep learning (DL) has been shown to have significant potential for eye disease detection and screening on retinal photographs in different clinical settings, particular in primary care. However, an automated pre-diagnosis image assessment is essential to stream...

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Detalles Bibliográficos
Autores principales: Yuen, Vincent, Ran, Anran, Shi, Jian, Sham, Kaiser, Yang, Dawei, Chan, Victor T. T., Chan, Raymond, Yam, Jason C., Tham, Clement C., McKay, Gareth J., Williams, Michael A., Schmetterer, Leopold, Cheng, Ching-Yu, Mok, Vincent, Chen, Christopher L., Wong, Tien Y., Cheung, Carol Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444486/
https://www.ncbi.nlm.nih.gov/pubmed/34524409
http://dx.doi.org/10.1167/tvst.10.11.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444486/
https://www.ncbi.nlm.nih.gov/pubmed/34524409
http://dx.doi.org/10.1167/tvst.10.11.16

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