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Coronary computed tomography angiography analysis using artificial intelligence for stenosis quantification and stent segmentation: a multicenter study
BACKGROUND: Accurate interpretation of coronary computed tomography angiography (CCTA) is a labor-intensive and expertise-driven endeavor, as inexperienced readers may inadvertently overestimate stenosis severity. Recent artificial intelligence (AI) advances in medical imaging present compelling pro...
Autores principales: | Meng, Qingtao, Yu, Pengxin, Yin, Siyuan, Li, Xiaofeng, Chang, Yitong, Xu, Wei, Wu, Chunmao, Xu, Na, Zhang, Huan, Wang, Yu, Shen, Hong, Zhang, Rongguo, Zhang, Qingyue |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585569/ https://www.ncbi.nlm.nih.gov/pubmed/37869330 http://dx.doi.org/10.21037/qims-23-423 |
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