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Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease

PURPOSE: Deep learning (DL) is a technique explored within ophthalmology that requires large datasets to distinguish feature representations with high diagnostic performance. There is a need for developing DL approaches to predict therapeutic response, but completed clinical trial datasets are limit...

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Detalles Bibliográficos
Autores principales:	Dong, Vincent, Sevgi, Duriye Damla, Kar, Sudeshna Sil, Srivastava, Sunil K., Ehlers, Justis P., Madabhushi, Anant
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894083/ https://www.ncbi.nlm.nih.gov/pubmed/36744216 http://dx.doi.org/10.3389/fopht.2022.852107

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