A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

Diabetic retinopathy (DR) is an irreversible fundus retinopathy. A deep learning-based automated DR diagnosis system can save diagnostic time. While Transformer has shown superior performance compared to Convolutional Neural Network (CNN), it typically requires pre-training with large amounts of dat...

Full description

Bibliographic Details
Main Authors: Yaoming Yang, Zhili Cai, Shuxia Qiu, Peng Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Vision Transformer
multiple instance learning
diabetic retinopathy
high-resolution fundus retinal images
medical image classification
Online Access:https://ieeexplore.ieee.org/document/10384372/

Internet

https://ieeexplore.ieee.org/document/10384372/

Similar Items