Automatic segmentation of chest X-ray images via deep-improved various U-Net techniques
Objectives Accurate segmentation of medical images is vital for effective disease diagnosis and treatment planning. This is especially important in resource-constrained environments. This study aimed to evaluate the performance of various U-Net-based deep learning architectures for chest X-ray (CXR)...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-08-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251366855 |
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