2 papers
cs.CV2026
Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework
Ziheng Guo, Danqun Zheng, Shuai Li +8
Purpose: Deep learning-based MRI artifact correction methods often demonstrate poor generalization to clinical data. This limitation largely stems from the inability of deep learni…
cs.CV2025
EfficientMIL: Efficient Linear-Complexity MIL Method for WSI Classification
Chengying She, Chengwei Chen, Dongjie Fan +5
Whole slide images (WSIs) classification represents a fundamental challenge in computational pathology, where multiple instance learning (MIL) has emerged as the dominant paradigm.…