A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance
<b>Background:</b> Despite advances in artificial intelligence (AI) for Diabetic Retinopathy (DR) classification, traditional severity-based approaches often lack interpretability and fail to capture specific lesion-centered characteristics. To address these limitations, we constructed t...
Saved in:
| Main Authors: | Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Biomedicines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9059/13/6/1446 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft
by: Jianghao Rao, et al.
Published: (2024-11-01) -
Tuberculosis Lesion Segmentation Improvement in X-Ray Images Using Contextual Background Label
by: Sahasat Khumang, et al.
Published: (2025-01-01) -
Diagnostic role of fine needle aspiration cytology in breast lesion
by: Rakesh Pathak, et al.
Published: (2024-12-01) -
Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area
by: А.А. Kolchev, et al.
Published: (2024-02-01) -
A Deep Learning Method for Pneumoconiosis Staging on Chest X-Ray Under Label Noise
by: Wenjian Sun, et al.
Published: (2025-01-01)