Large scale deep learning for computer aided detection of mammographic lesions
Radboud University Nijmegen · Radboud University Medical Center · +2 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
965
total citations
- FWCI
- 125.45
- Percentile
- 100%
- References
- 91
Citations per year
Authors
8- TKThijs KooiCorresponding
Radboud University Nijmegen, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences
- GLGeert Litjens
Radboud University Nijmegen, Radboud University Medical Center
- BVBram van Ginneken
Radboud University Nijmegen, Radboud University Medical Center
- AGAlbert Gubern‐Mérida
Radboud University Nijmegen, Radboud University Medical Center
- CIClara I. Sánchez
Radboud University Nijmegen, Radboud University Medical Center
Topics & keywords
Topics
Keywords
- Computer science
- Artificial intelligence
- Convolutional neural network
- Complement (music)
- Deep learning
- Pattern recognition (psychology)
- Context (archaeology)
- Set (abstract data type)
UN Sustainable Development Goals
- Quality Education
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