From the 1 of 7 linked papers with an AI index.
7 papers
PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?
Zongyi Chen, Yu Liang, Jie Lin +1
The paper presents PathVU, a benchmark that tests multimodal large language models on fine-grained, multiscale visual understanding of pathology images using region- and slide-leve…
Evaluating Agentic Harness Systems for Autonomous Computational Pathology
Jie Lin, Zongyi Chen, Qiaoling Zheng +6
Autonomous computational pathology (ACP) converts high-level pathology analysis goals into executable, traceable and clinically bounded workflows. Realizing this capability require…
Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
Zhenfeng Zhuang, Fangyu Zhou, Liansheng Wang
While Large Language Models (LLMs) are emerging as a promising direction in computational pathology, the substantial computational cost of giga-pixel Whole Slide Images (WSIs) nece…
CMIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
Min Cen, Zhenfeng Zhuang, Yuzhe Zhang +5
Graph-based Multiple Instance Learning (MIL) is widely used in survival analysis with Hematoxylin and Eosin (H\&E)-stained whole slide images (WSIs) due to its ability to capture t…
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
Zheng Wang, Hong Liu, Danyi Li +4
Survival analysis based on Whole Slide Images (WSIs) is crucial for evaluating cancer prognosis, as they offer detailed microscopic information essential for predicting patient out…
Evolutionary Paradigms in Histopathology Serial Sections technology
Zhenfeng Zhuang, Min Cen, Lei Jiang +4
Histopathological analysis has been transformed by serial section-based methods, advancing beyond traditional 2D histology to enable volumetric and microstructural insights in onco…