PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation

arXiv:2402.19286v1 Announce Type: cross
Abstract: Understanding the anatomy of renal pathology is crucial for advancing disease diagnostics, treatment evaluation, and clinical research. The complex kidney system comprises various components across multiple levels, including regions (cortex, medulla), functional units (glomeruli, tubules), and cells (podocytes, mesangial cells in glomerulus). Prior studies have predominantly overlooked the intricate spatial interrelations among objects from clinical knowledge. In this research, we introduce a novel universal proposition learning approach, called panoramic renal pathology segmentation (PrPSeg), designed to …

abstract arxiv cells clinical clinical research components cortex cs.cv diagnostics disease eess.iv evaluation functional multiple pathology prior research segmentation studies treatment type understanding units universal