An Approach of Segmentation Method Using Deep Learning for CT Medical Images.
Sebastian-Aurelian StefanigaMihail GaianuPublished in: SYNASC (2019)
Keyphrases
- medical images
- segmentation method
- deep learning
- computed tomography
- ct images
- medical imaging
- computer tomography
- anatomical structures
- region growing
- image intensity
- unsupervised learning
- image segmentation
- medical image analysis
- mr images
- active contour model
- magnetic resonance imaging
- machine learning
- magnetic resonance images
- imaging modalities
- computer aided diagnosis
- active contours
- ct data
- segmentation algorithm
- mental models
- magnetic resonance
- object segmentation
- region of interest
- clinical applications
- x ray images
- superpixels
- shape prior
- deformable models
- energy function
- ct scans
- higher order
- image data
- feature extraction