8 papers · 1 filter
SlideMix: Enhancing Whole Slide Image Analysis via Multimodal Shuffling
Chad Wong, Sicheng Chen, Tianyi Zhang +4
Histopathological whole slide images (WSIs) are central to cancer diagnosis, but their gigapixel scale, tissue heterogeneity, weak slide-level supervision, sparse diagnostic region…
EviPathBench: Benchmarking Evidence Acquisition and Reasoning in Vision-Language Models for Whole-Slide Pathology
Dankai Liao, Tianyi Zhang, Yufeng Wu +6
Whole-slide image (WSI) diagnosis requires identifying diagnostically relevant regions, examining them across magnifications, and integrating multi-scale evidence. However, most pa…
Enhancing Pathological VLMs with Cross-scale Reasoning
Chi Phan, Tianyi Zhang, Qiaochu Xue +5
Pathological images are inherently multi-scale, requiring pathologists to integrate evidence from global tissue architecture at low magnification to cellular morphology at higher m…
PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis
Chi Phan, Tianyi Zhang, Yufeng Wu +7
Pathological diagnosis is inherently multi-scale, requiring the integration of global tissue architecture at low magnification with cellular morphology at higher magnification. How…
BatMIL: Geometry-Embedding State Space Model for Whole-Slide Image Representation
Enhui Chai, Sicheng Chen, Tianyi Zhang +4
Accurate analysis of histopathological images is critical for disease diagnosis and treatment planning. Whole-slide images (WSIs), which digitize tissue specimens at gigapixel reso…
Unsupervised MR-US Multimodal Image Registration with Multilevel Correlation Pyramidal Optimization
Jiazheng Wang, Zeyu Liu, Min Liu +4
Surgical navigation based on multimodal image registration has played a significant role in providing intraoperative guidance to surgeons by showing the relative position of the ta…
STAR: A Fast and Robust Rigid Registration Framework for Serial Histopathological Images
Zeyu Liu, Shengwei Ding
Registration of serial whole-slide histopathological images (WSIs) is critical for enabling direct comparison across diverse stains and for preparing paired datasets in artificial…
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Ke Niu, Zeyun Liu, Xue Feng +5
Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers…