Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression.
Clara M. TamXiaofeng YangSibo TianXi JiangJonathan J. BeitlerShuo LiPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Keyphrases
- ct images
- support vector regression
- medical images
- medical imaging
- computed tomography
- ct scans
- region of interest
- support vector machine svm
- hybrid model
- regression model
- anatomical structures
- kernel function
- support vector
- lymph nodes
- computer tomography
- liver segmentation
- lung nodules
- fully automated
- image registration
- x ray
- treatment planning
- support vector machine
- support vector classification
- automated segmentation
- radiation therapy
- medical image processing
- image analysis
- image segmentation
- ct imaging
- fracture detection
- medical image segmentation
- image guided
- computer aided
- mr images
- image processing
- imaging modalities
- soft tissue
- magnetic resonance
- image sequences
- three dimensional
- feature selection
- computer vision