3 papers
cs.LG2026
PA-MIL: Phenotype-Aware Multiple Instance Learning Guided by Language Prompting and Genotype-to-Phenotype Relationships
Zekang Yang, Hong Liu, Xiangdong Wang
Deep learning has been extensively researched in the analysis of pathology whole-slide images (WSIs). However, most existing methods are limited to providing prediction interpretab…
cs.SD2025
Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models
Hualei Wang, Yiming Li, Shuo Ma +2
Recent Large Audio-Language Models (LALMs) exhibit impressive capabilities in understanding audio content for conversational QA tasks. However, these models struggle to accurately…
cs.CV2024
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
Zekang Yang, Hong Liu, Xiangdong Wang
Cancer survival prediction is a challenging task that involves analyzing of the tumor microenvironment within Whole Slide Image (WSI). Previous methods cannot effectively capture t…