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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
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

Internet

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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