Yu-Hui Ma

Research on few-shot bone tumor classification method based on C-MSPNet

Aiming at the insufficient utilization of clinical information, limited adaptability to lesion scales, and lack of clinical-prior guidance in feature learning of traditional prototypical network models for bone tumor image classification, this paper proposes a Clinical-guided Multi-Scale Prototypical Network (C-MSPNet)...

A frequency-aware dual-domain collaborative framework for medical image enhancement.

This paper proposes a frequency-aware dual-domain collaborative framework for medical image enhancement, termed FDRNet, comprising two key components: a frequency-decoupled deblurring module with asymmetric channel integration, which combines global and local views using high- and low-frequency information to preserve...

Consistency-Guided Uncertainty Estimation for Source-Free Medical Image Segmentation