An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology.

Date publication

mai 2021

Journal

Computer methods and programs in biomedicine

Auteurs

Membres identifiés du Cancéropôle Est :
Pr WEMMERT Cédric

Tous les auteurs :
Merveille O, Lampert T, Schmitz J, Forestier G, Feuerhake F, Wemmert C

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/34091100

Résumé

This article presents an automatic image processing framework to extract quantitative high-level information describing the micro-environment of glomeruli in consecutive whole slide images (WSIs) processed with different staining modalities of patients with chronic kidney rejection after kidney transplantation.

Mots clés

brightfield images, chromogenic duplex immunohistochemistry, digital pathology, digital whole slide image, glomeruli matching, glomeruli segmentation

Référence

Comput Methods Programs Biomed. 2021 May 11;208:106157