Detecting Severity of Diabetic Retinopathy from Fundus Images using Ensembled Transformers
Detecting Severity of Diabetic Retinopathy from Fundus Images using Ensembled Transformers
Chandranath Adak,Tejas Karkera,Soumiki Chattopadhyay,Muhammad Saqib
2023 · DOI: 10.48550/arXiv.2301.00973
arXiv.org · 16 Citations
TLDR
This paper works with ensembling image transformers, where four models are adopted, namely ViT (Vision Transformer), BEiT (Bidirectional Encoder representation for image Transformer), CaiT (Class-Attention in Image Transformer), and DeiT (Data efficient image Transformers), to infer the degree of DR severity from fundus photographs.