Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
Radboud University Medical Center · Radboud University Nijmegen · +2 more institutions
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Abstract
No abstract available for this paper.
Citation impact
679
total citations
- FWCI
- 54.79
- Percentile
- 100%
- References
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Citations per year
Authors
9- WBWouter BultenCorresponding
Radboud University Medical Center, Radboud University Nijmegen
- HPHans Pinckaers
Radboud University Medical Center, Radboud University Nijmegen
- HVHester van Boven
The Netherlands Cancer Institute
- RVRobert Vink
Thales (Netherlands)
- TDThomas de Bel
Radboud University Medical Center, Radboud University Nijmegen
Topics & keywords
Topics
Keywords
- Prostate cancer
- Grading (engineering)
- Medicine
- Prostate
- Deep learning
- Prognostics
- Artificial intelligence
- Scoring system
UN Sustainable Development Goals
- Good health and well-being
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