Glo-In-One-v2: holistic identification of glomerular cells, tissues, and lesions in human and mouse histopathology.
Journal:
Journal of medical imaging (Bellingham, Wash.)
Published Date:
Jul 28, 2025
Abstract
PURPOSE: Segmenting intraglomerular tissue and glomerular lesions traditionally depends on detailed morphological evaluations by expert nephropathologists, a labor-intensive process susceptible to interobserver variability. Our group previously developed the Glo-In-One toolkit for integrated glomerulus detection and segmentation. We leverage the Glo-In-One toolkit to version 2 (Glo-In-One-v2), which adds fine-grained segmentation capabilities. We curated 14 distinct labels spanning tissue regions, cells, and lesions across 23,529 annotated glomeruli from human and mouse histopathology data. To our knowledge, this dataset is among the largest of its kind to date.
Authors
Keywords
No keywords available for this article.