Abstract 6178: Automating tumor purity assessment: Advanced AI-driven segmentation and classification of nuclei in H&E stained slides

Abstract Background Tumor purity, the proportion of cancerous cells within a tumor mass, is a pivotal factor in oncological research and clinical practice and plays a significant role in the molecular testing workflow, particularly when selecting samples for genomic analysis. Accurate assessment of tumor purity is crucial for understanding tumor behavior, guiding treatment decisions, and predicting patient outcomes. Traditional methods of analyzing hematoxylin and eosin (H Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 6178.