Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms

The main aim of the present study was to predict myocardial function improvement in cardiac MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using radiomics and machine learning algorithms. Altogether, 43 patients who had visible scars on short-axis LGE-CMR images and wer...

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Detalles Bibliográficos
Autores principales: Arian, Fatemeh, Amini, Mehdi, Mostafaei, Shayan, Rezaei Kalantari, Kiara, Haddadi Avval, Atlas, Shahbazi, Zahra, Kasani, Kianosh, Bitarafan Rajabi, Ahmad, Chatterjee, Saikat, Oveisi, Mehrdad, Shiri, Isaac, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712892/
https://www.ncbi.nlm.nih.gov/pubmed/35995896
http://dx.doi.org/10.1007/s10278-022-00681-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712892/
https://www.ncbi.nlm.nih.gov/pubmed/35995896
http://dx.doi.org/10.1007/s10278-022-00681-0

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