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...

Descripción completa

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

Internet

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

Ejemplares similares