Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis
Objective Ulcerative colitis (UC) endoscopic image classification presents challenges owing to imbalanced medical imaging data, particularly when the clinical importance of accurate positive predictions increases with disease severity. This study proposes a multi-task learning (MTL) framework inspir...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-07-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251356396 |
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