Article

A spatially guided machine learning method to classify and quantify glomerular patterns of injury in histology images

2022-12-12

Abstract excerpt

INTRODUCTION Pathology diagnosis of glomerular diseases is primarily based on visual assessment of histologic patterns. Semi-quantitative scoring of active and chronic lesions is often required to assess individual characteristics of the disease. Reproducibility of the visual scoring systems remains debatable while digital and machine learning technologies open opportunities to detect, classify and quantify glomer...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2a97191a-e4c6-559c-b5af-b5970056903e
DOI: 10.21203/rs.3.rs-2337818/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A spatially guided machine learning method to classify and quantify glomerular patterns of injury in histology imagesDOI 10.21203/rs.3.rs-2337818/v1Read

A Deep Learning-Based Tool for Segmentation and Quantification of i-IFTA, Focal Infiltrates, and Tubular Dilation in Haematoxylin-Eosin Stained Renal Whole-Slide ImagesSemantic proximity Read

High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage statesSemantic proximity Read

Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide ImagesSemantic proximity Read

High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injurySemantic proximity Read

Phenotypic and prognostic insights through unbiased self-supervised learning on kidney histologySemantic proximity Read

A user-friendly tool for cloud-based whole slide image segmentation, with examples from renal histopathologySemantic proximity Read

Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights.Semantic proximity Read

Robust and generalizable segmentation of human functional tissue unitsSemantic proximity Read

PodoCount: A robust, fully automated whole-slide podocyte quantification toolSemantic proximity Read

Discovery of Novel Digital Biomarkers for Type 2 Diabetic Nephropathy Classification via Integration of Urinary Proteomics and PathologySemantic proximity Read

Spatially Resolved Banff Tubulitis and Glomerulitis Scoring in Kidney Allograft Biopsies via Artificial Intelligent -Based Structure Segmentation and Spatial TranscriptomicsSemantic proximity Read

Renal Cell Carcinoma Whole-Slide Image Classification and Search Using Deep LearningSemantic proximity Read