NiftyNet: a deep-learning platform for medical imaging

•An open-source platform is implemented based on TensorFlow APIs for deep learning in medical imaging domain.•A modular implementation of the typical medical imaging machine learning pipeline facilitates (1) warm starts with established pre-trained networks, (2) adapting existing neural network arch...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 158; S. 113 - 122
Hauptverfasser:	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
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.05.2018 Elsevier Scientific Publishers
Schlagworte:	Abdomen - diagnostic imaging Brain - diagnostic imaging Computer Simulation Convolutional neural network Databases, Factual Deep learning Diagnostic Imaging - instrumentation Diagnostic Imaging - methods Generative adversarial network Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Image regression Machine Learning Magnetic Resonance Imaging Medical image analysis Neural Networks, Computer Segmentation Ultrasonography Deep learning Segmentation Convolutional neural network Medical image analysis Generative adversarial network Image regression
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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