EffiViT: Hybrid CNN-Transformer for Retinal Imaging

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov et al. · arXiv (Cornell University) · 2020 · 21.6K citations · Full text

Computing, Computer Science, Computer Vision +14

Retinal Image Analysis for Diabetes-Based Eye Disease Detection Using Deep Learning

Tahira Nazir, Aun Irtaza, Ali Javed et al. · Applied Sciences · 2020 · 140 citations · Full text

Computing, Computer Science, Ophthalmology +17

Multi-Label Retinal Disease Classification Using Transformers

Manuel Alejandro Rodríguez, Hasan Al-Marzouqi, Panos Liatsis · IEEE Journal of Biomedical and Health Informatics · 2022 · 110 citations · Full text

Computing, Biomedical Engineering, Ophthalmology +17

A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment

Chenyu Zhu, Yukun Wang, Haipeng Chen et al. · Frontiers in Medicine · 2021 · 97 citations · Full text

Medicine, Dermatology, Pathology +11

Conv-ViT: A Convolution and Vision Transformer-Based Hybrid Feature Extraction Method for Retinal Disease Detection

Pramit Dutta, Khaleda Akther Sathi, Md. Azad Hossain et al. · Journal of Imaging · 2023 · 91 citations · Full text

Computing, Computer Science, Ophthalmology +17