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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2019
Materias:
Original Research
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

Internet

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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