Tumor-aware augmentation and anisotropic cropping improve CT-to-MRI transfer for rectal cancer segmentation in hierarchical transformers by reducing attention dilution from padding and enhancing feature adaptation.
Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on mri using deep learning
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Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images
Tumor-aware augmentation and anisotropic cropping improve CT-to-MRI transfer for rectal cancer segmentation in hierarchical transformers by reducing attention dilution from padding and enhancing feature adaptation.