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Deep Learning–Based Histopathologic Assessment of Kidney Tissue
343
Zitationen
13
Autoren
2019
Jahr
Abstract
This study presents the first convolutional neural network for multiclass segmentation of PAS-stained nephrectomy samples and transplant biopsies. Our network may have utility for quantitative studies involving kidney histopathology across centers and provide opportunities for deep learning applications in routine diagnostics.
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Autoren
Institutionen
- Ragon Institute of MGH, MIT and Harvard(US)
- Amsterdam University Medical Centers(NL)
- University of Amsterdam(NL)
- Mayo Clinic(US)
- Sindh Institute of Urology and Transplantation(PK)
- WinnMed(US)
- American Society of Transplantation(US)
- Institut de Transplantation Urologie en Nephrologie(FR)
- Riverside Transplantation Institute(US)
- Radboud University Nijmegen(NL)
- Radboud University Medical Center(NL)
- Linköping University(SE)