SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation

doi:doi:10.57702/59nshdnq

SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation

Coronary artery disease (CAD) is one of the most prevalent diseases in the cardiovascular field and one of the major contributors to death worldwide. Computed Tomography Angiography (CTA) images are regarded as the authoritative standard for the diagnosis of coronary artery disease, and by performing vessel segmentation and stenosis detection on CTA images, physicians are able to diagnose coronary artery disease more accurately.

BibTex:

@dataset{Xueying_Zenga_and_Baixiang_Huang_and_Yu_Lu_and_Guangyu_Wei_and_Songyan_He_and_Yushuang_Shao_2024,
    abstract = {Coronary artery disease (CAD) is one of the most prevalent diseases in the cardiovascular field and one of the major contributors to death worldwide. Computed Tomography Angiography (CTA) images are regarded as the authoritative standard for the diagnosis of coronary artery disease, and by performing vessel segmentation and stenosis detection on CTA images, physicians are able to diagnose coronary artery disease more accurately.},
    author = {Xueying Zenga and Baixiang Huang and Yu Lu and Guangyu Wei and Songyan He and Yushuang Shao},
    doi = {10.57702/59nshdnq},
    institution = {No Organization},
    keyword = {'Coronary Angiography', 'Medical Image Analysis', 'Vessel Segmentation'},
    month = {dec},
    publisher = {TIB},
    title = {SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation},
    url = {https://service.tib.eu/ldmservice/dataset/sam-vmnet--deep-neural-networks-for-coronary-angiography-vessel-segmentation},
    year = {2024}
}