Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition
Published inJournal of digital imaging
First online date2022-11-14
Abstract
Keywords
- CRT
- GSPECT MPI
- Machine learning
- Quantitative features
- Radiomics
Research group
Citation (ISO format)
SABOURI, Maziar et al. Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. In: Journal of digital imaging, 2022. doi: 10.1007/s10278-022-00705-9
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
- PID : unige:167023
- DOI : 10.1007/s10278-022-00705-9
- PMID : 36376780
Commercial URLhttps://link.springer.com/10.1007/s10278-022-00705-9
ISSN of the journal1618-727X