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Deep learning-based classification of kidney transplant pathology
- Source :
- The Lancet Digital Health, 4(1), 18-26. ELSEVIER, The Lancet Digital Health, 4(1), e18-e26. Elsevier Ltd, The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9, Kers, J, Bülow, R D, Klinkhammer, B M, Breimer, G E, Fontana, F, Abiola, A A, Hofstraat, R, Corthals, G L, Peters-Sengers, H, Djudjaj, S, von Stillfried, S, Hölscher, D L, Pieters, T T, van Zuilen, A D, Bemelman, F J, Nurmohamed, A S, Naesens, M, Roelofs, J J T H, Florquin, S, Floege, J, Nguyen, T Q, Kather, J N & Boor, P 2022, ' Deep learning-based classification of kidney transplant pathology : a retrospective, multicentre, proof-of-concept study ', The Lancet Digital Health, vol. 4, no. 1, pp. e18-e26 . https://doi.org/10.1016/S2589-7500(21)00211-9
- Publication Year :
- 2022
-
Abstract
- The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9<br />Published by The Lancet, London
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 25897500
- Volume :
- 4
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- The Lancet Digital Health
- Accession number :
- edsair.doi.dedup.....370ca89d866b38a88d146e9bf428e219
- Full Text :
- https://doi.org/10.1016/S2589-7500(21)00211-9