December 25, 2025 preprint Open access Morphometry-based detection of deep learning faults in glomerular segmentation bioRxiv (Cold Spring Harbor Laboratory) DOI: 10.64898/2025.12.23.696291 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Deep Learning–Based Segmentation and Quantification in Experimental Kidney Histopathology 2020 Journal of the American Society of Nephrology article Computer Science AI in cancer detection Open access 187 citations Next-Generation Morphometry for pathomics-data mining in histopathology 2023 Nature Communications article Computer Science AI in cancer detection Open access 141 citations Consensus definitions for glomerular lesions by light and electron microscopy: recommendations from a working group of the Renal Pathology Society 2020 Kidney International article Medicine Renal Diseases and Glomerulopathies Open access 91 citations Large-scale extraction of interpretable features provides new insights into kidney histopathology – A proof-of-concept study 2022 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access 11 citations 4 results