Article-Journal

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

MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

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

Attention-challenging multiple instance learning for whole slide image classification

Complex carotid artery segmentation in multi-contrast MR sequences by improved optimal surface graph cuts based on flow line learning

Automatic and accurate segmentation of peripherally inserted central catheter (PICC) from chest X-rays using multi-stage attention-guided learning