Supervised Contrastive Learning with Angular Margin for the Detection and Grading of Diabetic Retinopathy

Many researchers have realized the intelligent medical diagnosis of diabetic retinopathy (DR) from fundus images by using deep learning methods, including supervised contrastive learning (SupCon). However, although SupCon brings label information into the calculation of contrastive learning, it does...

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Detalles Bibliográficos
Autores principales: Zhu, Dongsheng, Ge, Aiming, Chen, Xindi, Wang, Qiuyang, Wu, Jiangbo, Liu, Shuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378050/
https://www.ncbi.nlm.nih.gov/pubmed/37510133
http://dx.doi.org/10.3390/diagnostics13142389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378050/
https://www.ncbi.nlm.nih.gov/pubmed/37510133
http://dx.doi.org/10.3390/diagnostics13142389

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