2 papers
cs.CV2026
MARR: Decoupling Policy, Execution, and Calibration for All-in-One Medical Image Restoration
Haobin Chen, Ao Chang, Heqin Zhu +3
All-in-one medical image restoration seeks to recover heterogeneous clinical images with a single model, but PET, CT, and MRI differ substantially in degradation statistics, anatom…
cs.CV2024
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
Jiahua Dong, Yue Zhang, Qiuli Wang +7
Medical image segmentation is crucial in the field of medical imaging, aiding in disease diagnosis and surgical planning. Most established segmentation methods rely on supervised d…