2 papers
eess.IV2025
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
Liying Xu, Hongliang He, Wei Han +3
Nuclear instance segmentation and classification provide critical quantitative foundations for digital pathology diagnosis. With the advent of the foundational Segment Anything Mod…
eess.IV2025
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
Lirui Qi, Hongliang He, Tong Wang +2
Nuclear instance segmentation plays a vital role in disease diagnosis within digital pathology. However, limited labeled data in pathological images restricts the overall performan…