O-DAT: A novel framework integrating optimized dual attention for medical image segmentation
This paper presents O-DAT (Optimized DA-TransUNet), a deep learning framework for medical image segmentation. Accurate segmentation is essential for clinical diagnosis but challenging due to complex anatomical structures. O-DAT enhances U-Net with optimized dual attention (ODA) modules for better sp...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825008452 |
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