Multi-Task Transformer Framework and Radiomic Signatures for Multi-Lesion Segmentation, Detection, and Grading in Diabetic Retinopathy

Transformer-based lesion analysis combined with radiomics-driven classification provides a robust, generalizable, and clinically meaningful solution for automated DR screening and severity assessment.

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Publication Details

Journal
Photodiagnosis and Photodynamic Therapy
Published
2026-03-01
DOI
https://doi.org/10.1016/j.pdpdt.2026.105455
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Task Transformer Framework and Radiomic Signatures for Multi-Lesion Segmentation, Detection, and Grading in Diabetic Retinopathy

Ning Ma, Chunlai Fang, Limin Qian
Photodiagnosis and Photodynamic Therapy
Retinal Imaging and Analysis
article

Multi-Task Transformer Framework and Radiomic Signatures for Multi-Lesion Segmentation, Detection, and Grading in Diabetic Retinopathy

Ning Ma, Chunlai Fang, Limin Qian
article en

Abstract

Transformer-based lesion analysis combined with radiomics-driven classification provides a robust, generalizable, and clinically meaningful solution for automated DR screening and severity assessment.

Photodiagnosis and Photodynamic Therapy
Harbin Medical University (CN), Fourth Affiliated Hospital of Harbin Medical University (CN), Shenyang 242 Hospital (CN)
Openalex Percentile: Top 9%
Retinal Imaging and Analysis
DOIOpen Access PDFOpenAlex
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