Recognition of intraglomerular histological features with deep learning in protocol transplant biopsies and their association with kidney function and prognosis.
Fiche publication
Date publication
février 2024
Journal
Clinical kidney journal
Auteurs
Membres identifiés du Cancéropôle Est :
Pr DUCLOUX Didier, Pr MARTIN Laurent
Tous les auteurs :
Farhat I, Maréchal E, Calmo D, Ansart M, Paindavoine M, Bard P, Tarris G, Ducloux D, Felix SA, Martin L, Tinel C, Gibier JB, Funes de la Vega M, Rebibou JM, Bamoulid J, Legendre M
Lien Pubmed
Résumé
The Banff Classification may not adequately address protocol transplant biopsies categorized as normal in patients experiencing unexplained graft function deterioration. This study seeks to employ convolutional neural networks to automate the segmentation of glomerular cells and capillaries and assess their correlation with transplant function.
Mots clés
artificial intelligence, deep learning, glomerulus, kidney pathology, transplant biopsies
Référence
Clin Kidney J. 2024 02;17(2):sfae019