2 papers
eess.IV2025
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Amit Das, Naofumi Tomita, Kyle J. Syme +6
Hematoxylin and Eosin (H&E) staining is a cornerstone of pathological analysis, offering reliable visualization of cellular morphology and tissue architecture for cancer diagnosis,…
cs.CL2024
A Benchmark for Long-Form Medical Question Answering
Pedram Hosseini, Jessica M. Sin, Bing Ren +4
There is a lack of benchmarks for evaluating large language models (LLMs) in long-form medical question answering (QA). Most existing medical QA evaluation benchmarks focus on auto…