Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation

Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation

Abstract Accurate diagnosis and severity estimation of gastrointestinal tract (GT) lesions are crucial for patient care and effective treatment plan decisions. Traditional methods for diagnosing lesions face challenges in accurately estimating severity due to requiring interpretable biomarkers, inte...

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Bibliographic Details
Main Authors: Zenebe Markos Lonseko, Dingcan Hu, Kaixuan Zhang, Helen Haile Hayeso, Tao Gan, Jinlin Yang, Nini Rao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Deep learning
Gastrointestinal lesion diagnosis
Multi-tasking learning
Severity Estimation
Convolutional vision transformer
Endoscopic images
Online Access:https://doi.org/10.1038/s41598-025-09587-7
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https://doi.org/10.1038/s41598-025-09587-7

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