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Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning
OBJECTIVE: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT. MATERIALS AND METHODS: To develop a fully automated algorithm, 100 subjects with coronary artery disease were randomly selected as a development set (50 trainin...
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| Publicat a: | Korean J Radiol |
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| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Korean Society of Radiology
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7231613/ https://ncbi.nlm.nih.gov/pubmed/32410405 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2019.0378 |
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