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An exploratory study of explainable deep learning for predicting bone mineral density using clavicle features on chest radiographs: A multi‐task approach with regression and segmentation
1
Zitationen
10
Autoren
2025
Jahr
Abstract
The proposed multi-task learning model demonstrated the predictive rationale by focusing on the clavicle in chest radiographs, which is clinically relevant to BMD, and showed improved performance compared with the single-task model.
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