Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks.
Liesbeth VandewinckeleDavid RobbenWouter CrijnsFrederik MaesPublished in: DLMIA/ML-CDS@MICCAI (2018)
Keyphrases
- ct scans
- organ segmentation
- abdominal organs
- medical images
- computed tomography
- lymph nodes
- convolutional neural networks
- medical imaging
- rigid registration
- ct images
- automated segmentation
- computed tomography images
- x ray
- ct data
- registration accuracy
- image registration
- computer tomography
- ct imaging
- computer aided diagnosis
- deformable models
- liver segmentation
- region of interest
- medical image analysis
- level set
- medical image processing
- registration process
- anatomical structures
- computer aided detection
- image segmentation
- fracture detection
- fully automatic
- convolutional network
- automatic segmentation
- multiscale
- x ray images
- segmentation method
- magnetic resonance images
- segmentation algorithm
- image analysis
- imaging modalities
- image processing
- shape prior
- three dimensional
- bone segmentation