Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning
The increasing demand for accurate and efficient medical image segmentation has driven the development of advanced Artificial Intelligence (AI) models to assist in diagnosing and planning treatments. In this paper, we propose a novel approach that combines U-Net architecture with attention mechanism...
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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/10960382/ |
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