Automated feature-based grading and progression analysis of diabetic retinopathy

BACKGROUND: In diabetic retinopathy (DR) screening programmes feature-based grading guidelines are used by human graders. However, recent deep learning approaches have focused on end to end learning, based on labelled data at the whole image level. Most predictions from such software offer a direct...

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Detalles Bibliográficos
Autores principales: Al-Turk, Lutfiah, Wawrzynski, James, Wang, Su, Krause, Paul, Saleh, George M., Alsawadi, Hend, Alshamrani, Abdulrahman Zaid, Peto, Tunde, Bastawrous, Andrew, Li, Jingren, Tang, Hongying Lilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873224/
https://www.ncbi.nlm.nih.gov/pubmed/33731888
http://dx.doi.org/10.1038/s41433-021-01415-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873224/
https://www.ncbi.nlm.nih.gov/pubmed/33731888
http://dx.doi.org/10.1038/s41433-021-01415-2

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