Article-Journal

PathBench: Advancing the Benchmark of Large Multimodal Models for Pathology Image Understanding at Patch and Whole Slide Level

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis with Cellular-Level Control

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

Gradient-aware learning for joint biases: Label noise and class imbalance

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation

Test-Time Training for Semantic Segmentation with Output Contrastive Loss

Semi-supervised Cell Recognition under Point Supervision

Long-MIL: scaling long contextual multiple instance learning for histopathology whole slide image analysis

Attention-challenging multiple instance learning for whole slide image classification