NiftyNet: a deep-learning platform for medical imaging.
Eli GibsonWenqi LiCarole H. SudreLucas FidonDzhoshkun I. ShakirGuotai WangZach Eaton-RosenRobert GrayTom DoelYipeng HuTom WhyntieParashkev NachevDean C. BarrattSébastien OurselinM. Jorge CardosoTom VercauterenPublished in: CoRR (2017)
Keyphrases
- medical imaging
- learning platform
- medical images
- x ray
- learning activities
- learning environment
- medical image processing
- learning materials
- image registration
- image processing and analysis
- image segmentation
- image processing
- ct images
- computed tomography
- image analysis
- magnetic resonance images
- medical image analysis
- shape analysis
- anatomical structures
- computer aided diagnosis
- magnetic resonance imaging
- image guided
- imaging modalities
- biomedical engineering
- remote sensing
- image guided surgery
- clinical practice
- medical image segmentation
- computer vision
- surface registration
- volumetric data
- biomedical imaging
- computer vision and image processing
- mobile learning
- data mining
- mobile devices
- high quality
- e learning