Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture on Computed Tomography Coronary Angiography Images.
Belén Serrano-AntónAlberto Otero-CachoDiego López-OteroBrais Díaz-FernándezMaría Bastos-FernándezVicente Pérez-MuñuzuriJosé Ramón González-JuanateyAlberto P. MuñuzuriPublished in: IEEE Access (2023)
Keyphrases
- angiography images
- coronary artery
- computed tomography
- contrast enhanced
- ct data
- coronary artery disease
- medical imaging
- medical images
- imaging modalities
- vessel enhancement
- ct images
- carotid artery
- low contrast
- image reconstruction
- ct scans
- vessel tree
- vessel segmentation
- image guided
- three dimensional
- optical coherence tomography
- volumetric data
- computer tomography
- image segmentation
- contrast agent
- x ray
- machine learning
- medical image analysis
- region growing
- active learning
- clinical applications
- magnetic resonance
- image registration
- retinal images
- multiscale
- accurate segmentation
- left ventricular
- cardiac ct
- anatomical structures
- magnetic resonance imaging
- computer aided
- mr images
- energy function
- segmentation algorithm
- image analysis
- medical data
- fully automatic
- deformable models
- image data