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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...
Autores principales: | Kolossváry, Márton, Karády, Júlia, Kikuchi, Yasuka, Ivanov, Alexander, Schlett, Christopher L., Lu, Michael T., Foldyna, Borek, Merkely, Béla, Aerts, Hugo J., Hoffmann, Udo, Maurovich-Horvat, Pál |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Radiological Society of North America
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776230/ https://www.ncbi.nlm.nih.gov/pubmed/31385755 http://dx.doi.org/10.1148/radiol.2019190407 |
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