Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains
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Open Access
- 22 August 2020
- journal article
- research article
- Published by Elsevier BV in Kidney International
- Vol. 99 (1), 86-101
- https://doi.org/10.1016/j.kint.2020.07.044
Abstract
No abstract availableFunding Information
- Case School of Engineering, Case Western Reserve University
This publication has 55 references indexed in Scilit:
- The Native Kidney BiopsyClinical Journal of the American Society of Nephrology, 2016
- Tubular atrophy in the pathogenesis of chronic kidney disease progressionPediatric Nephrology, 2015
- Arteriolar hyalinosis and arterial hypertension as possible surrogate markers of reduced interstitial blood flow and hypoxia in glomerulonephritisNephrology, 2014
- Estimating Podocyte Number and Density Using a Single Histologic SectionJournal of the American Society of Nephrology, 2014
- A Quantitative Histomorphometric Classifier (QuHbIC) Identifies Aggressive Versus Indolent p16-Positive Oropharyngeal Squamous Cell CarcinomaThe American Journal of Surgical Pathology, 2014
- Digital Pathology Evaluation in the Multicenter Nephrotic Syndrome Study Network (NEPTUNE)Clinical Journal of the American Society of Nephrology, 2013
- Role of Proximal Tubules in the Pathogenesis of Kidney DiseasePublished by S. Karger AG ,2011
- Statistical validation of image segmentation quality based on a spatial overlap index1: scientific reportsAcademic Radiology, 2004
- Reliability of Histologic Scoring for Lupus Nephritis: A Community-based EvaluationAnnals of Internal Medicine, 1993
- Tubulointerstitial Changes as a Major Determinant in the Progression of Renal DamageAmerican Journal of Kidney Diseases, 1992