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Automated assessment of glomerulosclerosis and tubular atrophy using deep learning
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- In kidney transplantations, pathologists evaluate the architecture of both glomeruli, interstitium and tubules to assess the nephron status. An accurate assessment of glomerulosclerosis and tubular atrophy is crucial for determining kidney acceptance, which is currently based on the pathologists’ histological evaluations on renal biopsies in addition to clinical data. In this work, we present an automated algorithm, called RENTAG (Robust EvaluatioN of Tubular Atrophy & Glomerulosclerosis), for the segmentation and classification of glomerular and tubular structures in histopathological images. The proposed novel strategy combines the accuracy of a level-set with the semantic segmentation of convolutional neural networks to detect the glomeruli and tubules contours. In the TEST set, our method exhibited excellent performance in both glomeruli (dice score: 0.9529) and tubule (dice score: 0.9174) detection and outperformed all the compared methods. To the best of our knowledge, the RENTAG algorithm is the first fully automated method capable of quantifying glomerulosclerosis and tubular atrophy in digital histological images. The developed software can be employed for the analysis of pre-transplantation biopsies to support the pathologists' diagnostic activity.
- Subjects :
- Pathology
medicine.medical_specialty
Tubular atrophy
Glomeruli segmentation
Health Informatics
Nephron
Deep learning
Digital pathology
Kidney histology
Kidney
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine
Image Processing, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
Segmentation
Radiological and Ultrasound Technology
urogenital system
business.industry
Glomerulosclerosis
medicine.disease
Computer Graphics and Computer-Aided Design
medicine.anatomical_structure
Fully automated
Automated algorithm
Computer Vision and Pattern Recognition
Artificial intelligence
Neural Networks, Computer
Atrophy
business
030217 neurology & neurosurgery
Algorithms
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....a1ab2f6379ab72813bd7ef907682ec27