nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
FIFabian IsenseePFPaul F. JaegerSASimon A. A. KohlJPJens PetersenKHKlaus H. Maier-Hein
German Cancer Research Center · Heidelberg University · +2 more institutions
Indexed inarxivcrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
8,317
total citations
- FWCI
- 221.57
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- 100%
- References
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Authors
5- FIFabian IsenseeCorresponding
German Cancer Research Center, Heidelberg University
- PFPaul F. Jaeger
German Cancer Research Center, Heidelberg University
- SASimon A. A. Kohl
German Cancer Research Center, Heidelberg University, Google DeepMind (United Kingdom)
- JPJens Petersen
German Cancer Research Center, Heidelberg University
- KHKlaus H. Maier-Hein
German Cancer Research Center, Heidelberg University, University Hospital Heidelberg
Topics & keywords
Topics
Keywords
- Segmentation
- Rendering (computer graphics)
- Image segmentation
- Key (lock)
- Deep learning
- Field (mathematics)
- Segmentation-based object categorization
- Scale-space segmentation
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