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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
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 |
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