Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.
Mariusz BujnyKatarzyna JesionekJakub NalepaKarol Miszalski-JamkaKatarzyna Widawka-ZakSabina WolnyMarcin KosturPublished in: CoRR (2024)
Keyphrases
- ct images
- deep learning
- image slices
- lung parenchyma
- medical images
- coronary artery
- computed tomography
- computer tomography
- medical imaging
- lung nodules
- ct scans
- pet ct
- fracture detection
- ct data
- imaging modalities
- contrast enhanced
- unsupervised learning
- magnetic resonance
- machine learning
- ground glass opacity
- weakly supervised
- level set
- image segmentation
- image guided
- segmentation method
- medical diagnosis
- segmentation algorithm
- pattern recognition
- mr images
- image analysis
- region of interest
- image reconstruction
- magnetic resonance imaging
- computer aided diagnosis
- anatomical structures
- magnetic resonance images
- object segmentation
- x ray
- co occurrence
- image data
- feature extraction
- image processing