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Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study
BACKGROUND: Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification of advanced lesions. Radiomics-based machine learning (ML) could provide a more accurate tool. PURPOSE: To compare the diagnostic performance of radiomics-based ML with that of v...
Tallennettuna:
| Julkaisussa: | Radiology |
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| Päätekijät: | , , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Radiological Society of North America
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6776230/ https://ncbi.nlm.nih.gov/pubmed/31385755 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2019190407 |
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