49 citations · 80 across the 11 of their papers we have counts for
4 papers · 1 filter
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
Jinghan Sun, Dong Wei, Zhe Xu +7
Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential tasks in clinical practice. The former aims at localizing and characterizing cardiopul…
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation
Chuyan Zhang, Hao Zheng, Xin You +2
Test-time adaptation (TTA) has emerged as a promising paradigm to handle the domain shifts at test time for medical images from different institutions without using extra training…
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
Jingjun Yi, Qi Bi, Hao Zheng +5
The rapid development of Vision Foundation Model (VFM) brings inherent out-domain generalization for a variety of down-stream tasks. Among them, domain generalized semantic segment…
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
Yumin Zhang, Hongliu Li, Yajun Gao +3
Few-shot medical image segmentation has achieved great progress in improving accuracy and efficiency of medical analysis in the biomedical imaging field. However, most existing met…