GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929402577682432 |
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| author | Zhang, Lin Lu, Chenggang Shi, Xin-yang Shan, Caifeng Zhang, Jiong Chen, Da Cohen, Laurent D. |
| author_facet | Zhang, Lin Lu, Chenggang Shi, Xin-yang Shan, Caifeng Zhang, Jiong Chen, Da Cohen, Laurent D. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19485 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation Zhang, Lin Lu, Chenggang Shi, Xin-yang Shan, Caifeng Zhang, Jiong Chen, Da Cohen, Laurent D. Image and Video Processing Computer Vision and Pattern Recognition 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. |
| title | GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2406.19485 |