115 citations · 136 across the 8 of their papers we have counts for
12 papers · 1 filter
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
Yu Zhu, Kang Li, Lequan Yu +1
Recent studies have made remarkable progress in histopathology classification. Based on current successes, contemporary works proposed to further upgrade the model towards a more g…
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
Zhenchao Jin, Xiaowei Hu, Lingting Zhu +3
Co-occurrent visual patterns suggest that pixel relation modeling facilitates dense prediction tasks, which inspires the development of numerous context modeling paradigms, \emph{e…
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Ziyu Guo, Weiqin Zhao, Shujun Wang +1
In computation pathology, the pyramid structure of gigapixel Whole Slide Images (WSIs) has recently been studied for capturing various information from individual cell interactions…
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars
Weijia Feng, Lingting Zhu, Lequan Yu
The Segment Anything Model (SAM) has demonstrated remarkable capabilities of scaled-up segmentation models, enabling zero-shot generalization across a variety of domains. By levera…
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Yanyan Huang, Weiqin Zhao, Shujun Wang +3
Whole slide image (WSI) analysis has become increasingly important in the medical imaging community, enabling automated and objective diagnosis, prognosis, and therapeutic-response…
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation
Qingyue Wei, Lequan Yu, Xianhang Li +4
Medical imaging has witnessed remarkable progress but usually requires a large amount of high-quality annotated data which is time-consuming and costly to obtain. To alleviate this…