Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning

arXiv:2404.01446v2 Announce Type: replace
Abstract: Whole Slide Images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they represent a particular challenge to AI-based/AI-mediated analysis because pathology labeling is typically done at slide-level, instead of tile-level. It is not just that medical diagnostics is recorded at the specimen level, the detection of oncogene mutation is also experimentally obtained, and recorded by initiatives like The Cancer Genome Atlas (TCGA), at …

abstract analysis arxiv challenge cs.ai cs.cv digital digital pathology however images instance labeling modern multiple pathology resolution slides type