Diabetic Retinopathy Assessment through Multitask Learning Approach on Heterogeneous Fundus Image Datasets

Diabetic Retinopathy Assessment through Multitask Learning Approach on Heterogeneous Fundus Image Datasets

Objective: To develop and validate an artificial intelligence (AI)-based system, Diabetic Retinopathy Analysis Model Assistant (DRAMA), for diagnosing diabetic retinopathy (DR) across multisource heterogeneous datasets and aimed at improving the diagnostic accuracy and efficiency. Design: This was a...

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Main Authors: Hongkang Wu, MS, Kai Jin, MD, PhD, Yiyang Jing, MD, Wenyue Shen, MD, Yih Chung Tham, PhD, Xiangji Pan, PhD, Victor Koh, MD, PhD, Andrzej Grzybowski, MD, PhD, Juan Ye, MD, PhD
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ophthalmology Science
Subjects:
Diabetic retinopathy
Artificial intelligence
Deep learning
Multitask learning
Multisource heterogeneous dataset
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914525000533
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