Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks.
Pawel MlynarskiHervé DelingetteHamza AlghamdiPierre-Yves BondiauNicholas AyachePublished in: CoRR (2019)
Keyphrases
- medical images
- convolutional neural networks
- medical imaging
- brain scans
- magnetic resonance imaging
- magnetic resonance images
- brain mri
- mri images
- anatomical structures
- medical image analysis
- mr images
- organ segmentation
- image segmentation
- level set
- convolutional network
- ct images
- intensity distribution
- mri data
- brain tumors
- brain tumor segmentation
- multiscale
- tissue segmentation
- segmentation algorithm
- imaging modalities
- computed tomography
- brain structures
- region of interest
- energy function
- deformable models
- risk factors
- partial volume
- positron emission tomography
- image analysis
- automatic segmentation
- carotid artery
- magnetic resonance
- risk management
- image processing
- fully automatic
- brain tissue
- soft tissue