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

https://www.ncbi.nlm.nih.gov/pubmed/38370429

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.