GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation
<|reference_start|>GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation: Atherosclerosis is a chronic, progressive disease that primarily affects the arterial walls. It is one of the major causes of cardiovascular disease. Magnetic Resonance (MR) black-blood vessel wall imaging (BB-VWI) offers crucial insights into vascular disease diagnosis by clearly visualizing vascular structures. However, the complex anatomy of the neck poses challenges in distinguishing the carotid artery (CA) from surrounding structures, especially with changes like atherosclerosis. In order to address these issues, we propose GAPNet, which is a consisting of a novel geometric prior deduced from.<|reference_end|>
@article{zhang2024gapnet:,
    title={GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for
  Carotid Artery Segmentation},
    author={Lin Zhang and Chenggang Lu and Xin-yang Shi and Caifeng Shan and Jiong
  Zhang and Da Chen and Laurent D. Cohen},
    journal={arXiv preprint arXiv:2406.19485},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.19485},
    primaryClass={eess.IV cs.CV}
}