Machine learning‐supported interpretation of kidney graft elementary lesions in combination with clinical data
Published 2022 View Full Article
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Title
Machine learning‐supported interpretation of kidney graft elementary lesions in combination with clinical data
Authors
Keywords
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Journal
AMERICAN JOURNAL OF TRANSPLANTATION
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2022-09-05
DOI
10.1111/ajt.17192
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- (2019) David Marx et al. Proteomics Clinical Applications
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- CNN cascades for segmenting sparse objects in gigapixel whole slide images
- (2018) Michael Gadermayr et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- The Revised (2013) Banff Classification for Antibody-Mediated Rejection of Renal Allografts: Update, Difficulties, and Future Considerations
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- The “grey zone” or how to avoid the binary constraint of decision-making
- (2015) Maxime Cannesson Canadian Journal of Anesthesia-Journal canadien d anesthesie
- Urinary C-X-C Motif Chemokine 10 Independently Improves the Noninvasive Diagnosis of Antibody-Mediated Kidney Allograft Rejection
- (2015) M. Rabant et al. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
- (2015) Takaya Saito et al. PLoS One
- Banff 2013 Meeting Report: Inclusion of C4d-Negative Antibody-Mediated Rejection and Antibody-Associated Arterial Lesions
- (2014) M. Haas et al. AMERICAN JOURNAL OF TRANSPLANTATION
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