ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
An ZengChunbiao WuMeiping HuangJian ZhuangShanshan BiDan PanNajeeb UllahKaleem Nawaz KhanTianchen WangYiyu ShiXiaomeng LiGuisen LinXiaowei XuPublished in: CoRR (2022)
Keyphrases
- angiography images
- computed tomography
- contrast enhanced
- ct data
- coronary artery
- medical images
- medical imaging
- carotid artery
- vessel enhancement
- coronary artery disease
- imaging modalities
- low contrast
- ct images
- vessel tree
- ct scans
- image reconstruction
- vessel segmentation
- three dimensional
- deformable models
- contrast agent
- intraoperative
- image segmentation
- automatic segmentation
- patient specific
- pre operative
- magnetic resonance imaging
- ultrasound images
- level set
- computer tomography
- segmentation algorithm
- optical coherence tomography
- fully automatic
- x ray
- accurate segmentation
- image processing
- multiscale
- segmentation method
- statistical shape model
- region growing
- mri data
- shape prior
- computer aided
- image guided
- retinal images
- medical data
- edge detection
- image analysis
- object boundaries
- fully automated