Abstract: U-shaped encoder-decoder models have excelled in automatic medical image segmentation due to their hierarchical feature learning capabilities, robustness, and upgradability. Purely CNN-based ...
Abstract: Magnetic Resonance Imaging (MRI) is widely used for glioma evaluation, but manual segmentation is impractical due to the large data volume. Automated techniques are necessary for precise ...
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