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Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study
116
Zitationen
23
Autoren
2021
Jahr
Abstract
European Research Council; German Research Foundation; German Federal Ministries of Education and Research, Health, and Economic Affairs and Energy; Dutch Kidney Foundation; Human(e) AI Research Priority Area of the University of Amsterdam; and Max-Eder Programme of German Cancer Aid.
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Autoren
- Jesper Kers
- Roman D. Bülow
- Barbara M. Klinkhammer
- Gerben E. Breimer
- Francesco Fontana
- Adeyemi Adefidipe Abiola
- Rianne Hofstraat
- Garry L. Corthals
- Hessel Peters‐Sengers
- Sonja Djudjaj
- Saskia von Stillfried
- David L. Hölscher
- Tobias T. Pieters
- Arjan D. van Zuilen
- Fréderike J. Bemelman
- Azam Nurmohamed
- Maarten Naesens
- Joris J. T. H. Roelofs
- Sandrine Florquin
- Jürgen Floege
- Tri Q. Nguyen
- Jakob Nikolas Kather
- Peter Boor
Institutionen
- Leiden University Medical Center(NL)
- University of Amsterdam(NL)
- Amsterdam University Medical Centers(NL)
- RWTH Aachen University(DE)
- Universitätsklinikum Aachen(DE)
- University Medical Center Utrecht(NL)
- Obafemi Awolowo University Teaching Hospitals Complex(NG)
- KU Leuven(BE)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- National Center for Tumor Diseases(DE)
- University of Leeds(GB)