Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
Radboud University Nijmegen · Radboud University Medical Center · +2 more institutions
Indexed inarxivcrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
575
total citations
- FWCI
- 33.95
- Percentile
- 100%
- References
- 59
Citations per year
Authors
7- DTDavid TellezCorresponding
Radboud University Nijmegen, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences
- GLGeert Litjens
Radboud University Nijmegen, Radboud University Medical Center
- PBPéter Bándi
Radboud University Nijmegen, Radboud University Medical Center
- WBWouter Bulten
Radboud University Nijmegen, Radboud University Medical Center
- JBJohn‐Melle Bokhorst
Radboud University Nijmegen, Radboud University Medical Center
Topics & keywords
Topics
Keywords
- Stain
- Normalization (sociology)
- Artificial intelligence
- Computer science
- Pattern recognition (psychology)
- Convolutional neural network
- H&E stain
- Pathology
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