SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks.
Patrick Ferdinand ChristFlorian EttlingerGeorgios KaissisSebastian SchlechtFreba AhmaddyFelix GrünAlexander ValentinitschSeyed-Ahmad AhmadiRickmer BrarenBjoern H. MenzePublished in: CoRR (2017)
Keyphrases
- ct images
- convolutional neural networks
- magnetic resonance images
- diffusion weighted
- medical images
- medical imaging
- convolutional network
- mr images
- magnetic resonance imaging
- medical image analysis
- white matter
- mri data
- brain tissue
- image segmentation
- brain tumors
- diffusion tensor
- magnetic resonance
- image intensity
- patient data
- clinical data
- brain images
- brain structures
- angular resolution
- three dimensional
- computer vision
- remote sensing
- pattern recognition
- mr imaging
- high quality