Computer-aided classification of liver tumors in 3D ultrasound images with combined deformable model segmentation and support vector machine.
Myungeun LeeJong Hyo KimMoon Ho ParkYe-Hoon KimYeong Kyeong SeongBaek Hwan ChoKyoung-Gu WooPublished in: Medical Imaging: Image Processing (2014)
Keyphrases
- computer aided
- deformable models
- skin lesion
- image analysis
- lymph nodes
- abdominal ct images
- support vector machine
- volumetric images
- medical images
- shape prior
- cancer diagnosis
- image segmentation
- segmentation algorithm
- segmentation method
- capsule endoscopy
- computer aided diagnosis
- pattern recognition
- ct images
- computer assisted
- medical image analysis
- automated segmentation
- automatic detection
- lung nodules
- lung cancer
- brain tumors
- support vector
- region of interest
- ultrasound probe
- automatic segmentation
- machine learning
- feature selection
- feature vectors
- input image
- medical imaging
- prior shape information
- feature space
- ultrasound images
- neural network
- computer vision
- transrectal ultrasound
- atlas construction
- image registration
- segmentation result
- ct data
- level set
- early detection
- training set
- pulmonary nodules
- early diagnosis
- narrow band
- image processing
- pet images
- clinical applications
- graph cuts
- level set method
- computed tomography