December 12, 2022 preprint Open access A spatially guided machine learning method to classify and quantify glomerular patterns of injury in histology images Research Square DOI: 10.21203/rs.3.rs-2337818/v1 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 Executive summary of the KDIGO 2021 Guideline for the Management of Glomerular Diseases 2021 Kidney International article Medicine Renal Diseases and Glomerulopathies Open access cited by 2 patents 827 citations 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 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 Impact of Consensus Definitions on Identification of Glomerular Lesions by Light and Electron Microscopy 2021 Kidney International Reports article Medicine Renal Diseases and Glomerulopathies Open access 6 citations 4 results