Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN.
Yang LeiJoseph HarmsXue DongTonghe WangXiangyang TangDavid S. YuJonathan J. BeitlerWalter J. CurranTian LiuXiaofeng YangPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- medical images
- lymph nodes
- anatomical structures
- medical imaging
- head images
- ct images
- mri images
- organ segmentation
- inter patient
- image segmentation
- ct data
- computer tomography
- automatic detection
- brain mri
- computed tomography
- mri brain
- segmentation method
- magnetic resonance images
- ct scans
- region of interest
- level set
- abdominal organs
- liver segmentation
- risk management
- image slices
- computer aided diagnosis
- segmentation algorithm
- x ray images
- mr images
- image analysis
- white blood
- clinical applications
- magnetic resonance imaging
- shape prior
- deformable models
- contrast enhanced
- imaging modalities
- lung cancer
- ct volume
- computer aided
- image reconstruction
- x ray
- multiscale