Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study ; volume:13 ; number:1 ; day:10 ; month:9 ; year:2023 ; pages:1-12 ; date:12.2023
Scientific reports ; 13, Heft 1 (10.9.2023), 1-12, 12.2023

Creator: Amini, Mehdi
Pursamimi, Mohamad
Hajianfar, Ghasem
Salimi, Yazdan
Saberi, Abdollah
Mehri-Kakavand, Ghazal
Nazari, Mostafa
Ghorbani, Mahdi
Shalbaf, Ahmad
Shiri, Isaac
Zaidi, Habib

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-42142-w

URN: urn:nbn:de:101:1-2023111509084918290100

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

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Amini, Mehdi
Pursamimi, Mohamad
Hajianfar, Ghasem
Salimi, Yazdan
Saberi, Abdollah
Mehri-Kakavand, Ghazal
Nazari, Mostafa
Ghorbani, Mahdi
Shalbaf, Ahmad
Shiri, Isaac
Zaidi, Habib
SpringerLink (Online service)

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Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study

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Other Objects (12)

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Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance

Patient satisfaction with coronary CT angiography, myocardial CT perfusion, myocardial perfusion MRI, SPECT myocardial perfusion imaging and conventional coronary angiography

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A deep learning-based automated diagnosis system for SPECT myocardial perfusion imaging

Myocardial perfusion SPECT imaging, a practical guide

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Patient satisfaction with coronary CT angiography, myocardial CT perfusion, myocardial perfusion MRI, SPECT myocardial perfusion imaging and conventional coronary angiography

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