A Rotated Object Detection Model With Feature Redundancy Optimization for Coronary Athero-Sclerotic Plaque Detection
Coronary atherosclerotic plaques are a major cause of cardiovascular disease (CVD). Although there have been significant advancements in plaque-assisted diagnosis by deep learning methods utilizing intravascular optical coherence tomography (IVOCT), images still contain redundant features, including...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10886934/ |
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