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Glomerulosclerosis detection with pre-trained CNNs ensemble., , , , , , and . Comput. Stat., 39 (2): 561-581 (April 2024)A comment on the paper Prediction of Kidney Function from Biopsy Images using Convolutional Neural Networks., , and . CoRR, (2017)Classification of glomerular hypercellularity using convolutional features and support vector machine., , , , , , , and . CoRR, (2019)A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images., , , , , , and . Biomed. Signal Process. Control., (2021)Classification of glomerular hypercellularity using convolutional features and support vector machine., , , , , , , and . Artif. Intell. Medicine, (2020)New Approach to Calculate Adiabatic Curves of Bound States and Reactive Scattering in Quantum Chemistry Problems., , , , and . ICCSA (1), volume 9786 of Lecture Notes in Computer Science, page 455-469. Springer, (2016)Automatic glomerulus detection in renal histological images., , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model., , , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (3): 288-298 (May 2023)Mouse-to-human transfer learning for glomerulus segmentation., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (5): 1996-2005 (September 2023)PodNet: Ensemble-based Classification of Podocytopathy on Kidney Glomerular Images., , , , , and . VISIGRAPP (5: VISAPP), page 405-412. SCITEPRESS, (2022)