Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning

AIMS: One of the most important complications of heart transplantation is organ rejection, which is diagnosed on endomyocardial biopsies by pathologists. Computer-based systems could assist in the diagnostic process and potentially improve reproducibility. Here, we evaluated the feasibility of using...

Descripción completa

Detalles Bibliográficos
Autores principales: Seraphin, Tobias Paul, Luedde, Mark, Roderburg, Christoph, van Treeck, Marko, Scheider, Pascal, Buelow, Roman D, Boor, Peter, Loosen, Sven H, Provaznik, Zdenek, Mendelsohn, Daniel, Berisha, Filip, Magnussen, Christina, Westermann, Dirk, Luedde, Tom, Brochhausen, Christoph, Sossalla, Samuel, Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232288/
https://www.ncbi.nlm.nih.gov/pubmed/37265858
http://dx.doi.org/10.1093/ehjdh/ztad016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232288/
https://www.ncbi.nlm.nih.gov/pubmed/37265858
http://dx.doi.org/10.1093/ehjdh/ztad016

Ejemplares similares