Weakly supervised object detection network for diabetic retinopathy

Experiments confirm that DRD-Net has good feasibility to accurately and comprehensively identify DR lesions. This suggests that it could potentially enhance clinical screening efficiency and promote further development in diabetic retinopathy detection.

Authors

Xiangqian Ding
Wenjing Wang (ORCID: https://orcid.org/0000-0001-8324-4075)
Xulin Zong
Yuhua Qin
Bingxue Liang

Institutions

Qingdao University of Science and Technology (CN)
Ocean University of China (CN)

Publication Details

Journal: Medical Physics
Published: 2025-12-31
DOI: https://doi.org/10.1002/mp.70264
Citations: 1
Primary Topic: Retinal Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 1.36

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article

Weakly supervised object detection network for diabetic retinopathy

Xiangqian Ding, Wenjing Wang, Xulin Zong, Yuhua Qin et al.

Dec 31, 2025

1 citations

Medical Physics

Retinal Imaging and Analysis

1.36

article

Weakly supervised object detection network for diabetic retinopathy

Xiangqian Ding, Wenjing Wang, Xulin Zong, Yuhua Qin, Bingxue Liang

December 31, 2025article en

1 citations

Abstract

Medical PhysicsVol. 53(1)

Qingdao University of Science and Technology (CN), Ocean University of China (CN)

Openalex Percentile: Top 13%

Retinal Imaging and Analysis

1.36

DOI Source OpenAlex

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