Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging.
Abdul QayyumAlain LalandeFabrice MériaudeauPublished in: Comput. Biol. Medicine (2020)
Keyphrases
- hybrid model
- computed tomography
- medical imaging
- automatic segmentation
- ct scans
- anatomical structures
- lymph nodes
- manual segmentation
- ct data
- medical images
- ct imaging
- ct images
- x ray
- segmentation algorithm
- medical image analysis
- clinical applications
- image segmentation
- imaging modalities
- artificial neural networks
- image analysis
- computer tomography
- medical image processing
- magnetic resonance images
- image guided
- lung cancer patients
- image registration
- support vector regression
- image processing
- computer aided diagnosis
- magnetic resonance imaging
- accurate segmentation
- remote sensing
- computer vision
- rigid registration
- support vector machine
- support vector machine svm
- volume rendering
- image reconstruction
- contrast enhanced
- three dimensional
- machine learning
- liver segmentation
- brain tumors
- treatment planning
- pet ct
- face recognition
- automatic detection
- high resolution