RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is costly and associated with risks. Noninvasive imaging like cardiac magnetic resonance (CMR) facilitates CAD assessment and c...

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Detalles Bibliográficos
Autores principales: Khozeimeh, Fahime, Sharifrazi, Danial, Izadi, Navid Hoseini, Joloudari, Javad Hassannataj, Shoeibi, Afshin, Alizadehsani, Roohallah, Tartibi, Mehrzad, Hussain, Sadiq, Sani, Zahra Alizadeh, Khodatars, Marjane, Sadeghi, Delaram, Khosravi, Abbas, Nahavandi, Saeid, Tan, Ru-San, Acharya, U. Rajendra, Islam, Sheikh Mohammed Shariful
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249743/
https://www.ncbi.nlm.nih.gov/pubmed/35778476
http://dx.doi.org/10.1038/s41598-022-15374-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249743/
https://www.ncbi.nlm.nih.gov/pubmed/35778476
http://dx.doi.org/10.1038/s41598-022-15374-5

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