Artificial intelligence-assisted renal pathology: advances and prospects

Y Wang, Q Wen, L Jin, W Chen - Journal of Clinical Medicine, 2022 - mdpi.com
Digital imaging and advanced microscopy play a pivotal role in the diagnosis of kidney
diseases. In recent years, great achievements have been made in digital imaging, providing …

Unsupervised learning for labeling global glomerulosclerosis

H Weishaupt, J Besusparis, CA Weis, S Porubsky… - bioRxiv, 2024 - biorxiv.org
Current deep learning models for classifying glomeruli in nephropathology are trained
almost exclusively in a supervised manner, requiring expert-labeled images. Very little is …

Research on Intelligent Calibration Test Fault Diagnosis Model of Automatic Chemiluminescence Immunoassay Analyzer

X Pan, X Sun, L Sha - Asian-Pacific Conference on Medical and Biological …, 2023 - Springer
In this study, three fault diagnosis models for the calibration test of the automated
chemiluminescent immunoassay analyzer (ACLIA) are developed. The models are trained …