Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
Karthik ChellamuthuJiamin LiuJianhua YaoMohammadhadi BagheriLe LuVeit SandfortRonald M. SummersPublished in: ISBI (2017)
Keyphrases
- computed tomography scans
- computed tomography
- low dose
- convolutional neural networks
- medical images
- liver segmentation
- medical imaging
- ct images
- ct scans
- computer tomography
- ct data
- medical image processing
- lung nodules
- x ray images
- image reconstruction
- fully automatic
- image segmentation
- medical image segmentation
- segmentation algorithm
- x ray
- imaging modalities
- level set
- segmentation method
- carotid artery
- medical image analysis
- anatomical structures
- three dimensional
- edge detection
- medical diagnosis
- deformable models
- multiscale
- image analysis
- contrast enhanced
- energy function
- region growing
- coronary artery
- mri data
- blood vessels
- magnetic resonance images
- automatic segmentation
- graph cuts
- magnetic resonance imaging
- color images
- multiresolution