NiftyNet: a deep-learning platform for medical imaging

Article, Preprint English OPEN
Gibson, Eli; Li, Wenqi; Sudre, Carole; Fidon, Lucas; Shakir, Dzhoshkun I.; Wang, Guotai; Eaton-Rosen, Zach; Gray, Robert; Doel, Tom; Hu, Yipeng; Whyntie, Tom; Nachev, Parashkev; Modat, Marc; Barratt, Dean C.; Ourselin, Sébastien; Cardoso, M. Jorge; Vercauteren, Tom;
  • Publisher: Elsevier Science Publishers
  • Journal: volume 158, pages 113-122issn: 0169-2607, eissn: 1872-7565
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1016/j.cmpb.2018.01.025, pmc: PMC5869052
  • Subject: Generative adversarial network | Computer Science - Computer Vision and Pattern Recognition | Image regression | Software | Convolutional neural network | Computer Science - Learning | Article | /dk/atira/pure/subjectarea/asjc/1700/1712 | Deep learning | /dk/atira/pure/subjectarea/asjc/2700/2718 | Computer Science Applications | Segmentation | Health Informatics | Medical image analysis, Deep learning, Convolutional neural network, Segmentation, Image regression, Generative adversarial network | Computer Science - Neural and Evolutionary Computing | /dk/atira/pure/subjectarea/asjc/1700/1706 | Medical image analysis

<p>BACKGROUND AND OBJECTIVES: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functionality for medical i... View more
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