1. Deep learning-based classification of kidney transplant pathology
- Author
-
Garry L. Corthals, Frederike J. Bemelman, Francesco Fontana, Azam S Nurmohamed, Arjan D. van Zuilen, Maarten Naesens, Peter Boor, Jürgen Floege, Gerben E. Breimer, Tri Q. Nguyen, Joris J. T. H. Roelofs, Adeyemi Adefidipe Abiola, Barbara M. Klinkhammer, Saskia von Stillfried, Hessel Peters-Sengers, Sonja Djudjaj, Tobias T Pieters, Rianne Hofstraat, Roman D. Bülow, Sandrine Florquin, Jesper Kers, Jakob Nikolas Kather, David L Hölscher, Analytical Chemistry and Forensic Science (HIMS, FNWI), Pathology, Nephrology, ACS - Diabetes & metabolism, APH - Digital Health, APH - Global Health, Center of Experimental and Molecular Medicine, Epidemiology and Data Science, APH - Aging & Later Life, and ACS - Pulmonary hypertension & thrombosis
- Subjects
Graft Rejection ,Pathology ,medicine.medical_specialty ,Biopsy ,MEDLINE ,Medicine (miscellaneous) ,Health Informatics ,Disease ,DIAGNOSIS ,Proof of Concept Study ,Medicine, General & Internal ,Deep Learning ,Health Information Management ,General & Internal Medicine ,Clinical endpoint ,Humans ,Medicine ,Decision Sciences (miscellaneous) ,Retrospective Studies ,Science & Technology ,Receiver operating characteristic ,medicine.diagnostic_test ,business.industry ,ARTIFICIAL-INTELLIGENCE ,medicine.disease ,Kidney Transplantation ,Triage ,Transplant rejection ,Cohort ,BIOPSIES ,business ,Life Sciences & Biomedicine ,Medical Informatics - Abstract
The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9, Published by The Lancet, London
- Published
- 2022
- Full Text
- View/download PDF