Deep learning automation of MEST-C classification in IgA nephropathy.
Fiche publication
Date publication
février 2023
Journal
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Auteurs
Membres identifiés du Cancéropôle Est :
Pr DUCLOUX Didier, Pr MARTIN Laurent
Tous les auteurs :
Jaugey A, Maréchal E, Tarris G, Paindavoine M, Martin L, Chabannes M, de la Vega MF, Chaintreuil M, Robier C, Ducloux D, Crépin T, Felix S, Jacq A, Calmo D, Tinel C, Zanetta G, Rebibou JM, Legendre M
Lien Pubmed
Résumé
Though the MEST-C classification is among the best prognostic tools in IgA nephropathy, it has a wide inter-observer variability between specialized pathologists and others. Therefore, we trained and evaluated a tool using Neural Network to automate the MEST-C grading.
Mots clés
IgA nephropathy, MEST-C classification, convolutional neural network, deep learning, kidney biopsy
Référence
Nephrol Dial Transplant. 2023 02 15;: