A New Deep Learning Algorithm with Activation Mapping for Diabetic Retinopathy: Backtesting after 10 Years of Tele-Ophthalmology

We report the development of a deep learning algorithm (AI) to detect signs of diabetic retinopathy (DR) from fundus images. For this, we use a ResNet-50 neural network with a double resolution, the addition of Squeeze–Excitation blocks, pre-trained in ImageNet, and trained for 50 epochs using the A...

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Detalles Bibliográficos
Autores principales: Pareja-Ríos, Alicia, Ceruso, Sabato, Romero-Aroca, Pedro, Bonaque-González, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456446/
https://www.ncbi.nlm.nih.gov/pubmed/36078875
http://dx.doi.org/10.3390/jcm11174945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456446/
https://www.ncbi.nlm.nih.gov/pubmed/36078875
http://dx.doi.org/10.3390/jcm11174945

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