AIMC Topic: Kidney Glomerulus
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Automated identification of glomeruli and synchronised review of special stains in renal biopsies by machine learning and slide registration: a cross-institutional study.
Histopathology
Aug 3, 2021
AIMS: Machine learning in digital pathology can improve efficiency and accuracy via prescreening with automated feature identification. Studies using uniform histological material have shown promise. Generalised application requires validation on sli...
Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.
Journal of the American Society of Nephrology : JASN
Nov 5, 2020
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with the animal models that are essential for understanding kidney disease pathophysiology. Precision medicine increases the demand for quantitative, unbiase...
Kidney Glomerulus
Translational Research, Biomedical
Schiff Bases
Pattern Recognition, Automated
Periodic Acid
Kidney
Disease Models, Animal
Mice, Inbred C57BL
Kidney Diseases
Deep Learning
Image Processing, Computer-Assisted
Mice
Neural Networks, Computer
Algorithms
Reproducibility of Results
Animals
Male
Diagnosis, Computer-Assisted
Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning.
The Journal of pathology
Jul 7, 2020
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treatment instructions, and prognosis evaluation in kidney diseases. These time-consuming tasks require a more accurate and reproducible quantitative analy...
Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis.
Journal of visualized experiments : JoVE
Jun 18, 2020
Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antibody associated vasculitis (MPO-AAV). Extracellular deoxyribonucleic acid (ecDNA) is released during different forms of cell death including apoptosis,...
Classification of glomerular hypercellularity using convolutional features and support vector machine.
Artificial intelligence in medicine
Jan 25, 2020
Glomeruli are histological structures of the kidney cortex formed by interwoven blood capillaries, and are responsible for blood filtration. Glomerular lesions impair kidney filtration capability, leading to protein loss and metabolic waste retention...
Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.
American journal of physiology. Renal physiology
Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Microscopy
Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Species Specificity
Biopsy
Workflow
Kidney Glomerulus
Mice, Transgenic
Animals
Male
Automation, Laboratory
Humans
Disease Models, Animal
Diagnosis, Computer-Assisted
Phenotype
Machine Learning
Mice, Inbred C57BL
Rats
Female
Software
Kidney Diseases
Reproducibility of Results
Predictive Value of Tests
Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.
Scientific reports
Jul 2, 2025
Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis and risk stratification, involves labor-intensive manual interpretation as well as unavoidable interpreter-dependent variabilities. We propose artific...
Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.
Scientific reports
May 15, 2025
Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public health. Among its various complications, diabetic nephropathy (DN) emerges as a critical microvascular complication associated with high mortality rate...
Detection and classification of glomerular lesions in kidney graft biopsies using 2-stage deep learning approach.
Medicine
Feb 14, 2025
Acute allograft rejection in patients undergoing renal transplantation is diagnosed through histopathological analysis of renal graft biopsies, which can be used to quantify elementary lesions. However, quantification of elementary lesions requires c...
A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images.
The American journal of pathology
Aug 1, 2021
Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analysis of renal biopsies. Glomerular histologic manifestations vary widely among diseases and cases, and several special staining methods are necessary fo...
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