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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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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