Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation

arXiv:2309.17166v2 Announce Type: replace
Abstract: Renal biopsies are the gold standard for diagnosis of kidney diseases. Lesion scores made by renal pathologists are semi-quantitative and exhibit high inter-observer variability. Automating lesion classification within segmented anatomical structures can provide decision support in quantification analysis and reduce the inter-observer variability. Nevertheless, classifying lesions in regions-of-interest (ROIs) is clinically challenging due to (a) a large amount of densely packed anatomical objects (up to 1000), (b) class imbalance across different compartments (at least 3), …

abstract advances analysis arxiv assessment classification cs.ai cs.cv decision decision support diagnosis diseases instance quantification quantitative reduce segmentation standard support through type