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Validation of deep learning-based fully automated coronary artery calcium scoring using non-ECG-gated chest CT in patients with cancer

This study aimed to demonstrate clinical feasibility of deep learning (DL)-based fully automated coronary artery calcium (CAC) scoring software using non-electrocardiogram (ECG)-gated chest computed tomography (CT) from patients with cancer. Overall, 913 patients with colorectal or gastric cancer wh...

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Detalles Bibliográficos
Autores principales: Choi, Joo Hyeok, Cha, Min Jae, Cho, Iksung, Kim, William D., Ha, Yera, Choi, Hyewon, Lee, Sun Hwa, You, Seng Chan, Chang, Jee Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530804/
https://www.ncbi.nlm.nih.gov/pubmed/36203468
http://dx.doi.org/10.3389/fonc.2022.989250

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