Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks.
Benjamin AuUri ShahamSanket DhruvaGeorgios BourasEcaterina CristeaAlexandra LanskyAndreas CoppiFred WarnerShu-Xia LiHarlan M. KrumholzPublished in: CoRR (2018)
Keyphrases
- angiography images
- carotid artery
- convolutional neural networks
- fully automated
- coronary artery
- contrast enhanced
- ultrasound images
- vessel enhancement
- low contrast
- vessel tree
- deformable models
- clinical data sets
- fully automatic
- manual segmentation
- computed tomography
- x ray
- vessel segmentation
- coronary artery disease
- region growing
- magnetic resonance imaging
- ct data
- active shape model
- automatic segmentation
- ct images
- intraoperative
- computer aided
- medical imaging
- mri data
- imaging modalities
- computer assisted
- contrast enhancement
- feature extraction
- mr images
- segmentation algorithm
- image registration