NiftyNet: a deep-learning platform for medical imaging.
Eli GibsonWenqi LiCarole H. SudreLucas FidonDzhoshkun I. ShakirGuotai WangZach Eaton-RosenRobert GrayTom DoelYipeng HuTom WhyntieParashkev NachevMarc ModatDean C. BarrattSébastien OurselinM. Jorge CardosoTom VercauterenPublished in: Comput. Methods Programs Biomed. (2018)
Keyphrases
- medical imaging
- learning platform
- medical images
- x ray
- learning activities
- computed tomography
- medical image processing
- learning environment
- anatomical structures
- image processing and analysis
- image segmentation
- imaging modalities
- image processing
- learning materials
- medical image analysis
- magnetic resonance images
- image registration
- image analysis
- clinical practice
- computer aided diagnosis
- magnetic resonance imaging
- biomedical engineering
- ct images
- shape analysis
- remote sensing
- image guided
- image guided surgery
- medical image segmentation
- brain mr images
- biomedical imaging
- computer vision and image processing
- volumetric data
- java programming
- surface registration
- computer vision
- high quality
- neural network
- metadata
- learning process
- computational intelligence
- medical data