CelloType: Transformer-Based Deep Learning for Automated Cell Segmentation and Classification in Tissue Imaging
Introduction Analyzing tissue images at the cellular level has become fundamental to understanding disease mechanisms, identifying therapeutic targets, and advancing personalized medicine. However, one of the most time-consuming bottlenecks in spatial omics research is the manual annotation of cells following segmentation—a laborious two-stage process that requires separating cells from tissue backgrounds, then classifying each identified […]
