Improved accuracy of myocardial perfusion SPECT for the detection of coronary artery disease using a support vector machine algorithm.
about
Cardiac imaging: working towards fully-automated machine analysis & interpretationMulticenter evaluation of stress-first myocardial perfusion image triage by nuclear technologists and automated quantification.Automated Quantitative Nuclear Cardiology MethodsRelationship Between Quantitative Adverse Plaque Features From Coronary Computed Tomography Angiography and Downstream Impaired Myocardial Flow Reserve by 13N-Ammonia Positron Emission Tomography: A Pilot Study.Fully automated analysis of perfusion data: The rise of the machines.Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.Computer-aided diagnosis system outperforms scoring analysis in myocardial perfusion imaging.Novel SPECT Technologies and Approaches in Cardiac Imaging.
P2860
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P2860
Improved accuracy of myocardial perfusion SPECT for the detection of coronary artery disease using a support vector machine algorithm.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Improved accuracy of myocardia ...... port vector machine algorithm.
@ast
Improved accuracy of myocardia ...... port vector machine algorithm.
@en
type
label
Improved accuracy of myocardia ...... port vector machine algorithm.
@ast
Improved accuracy of myocardia ...... port vector machine algorithm.
@en
prefLabel
Improved accuracy of myocardia ...... port vector machine algorithm.
@ast
Improved accuracy of myocardia ...... port vector machine algorithm.
@en
P2093
P2860
P1476
Improved accuracy of myocardia ...... port vector machine algorithm.
@en
P2093
Damini Dey
Daniel Berman
Guido Germano
Matthews Fish
Piotr Slomka
Reza Arsanjani
Sean Hayes
Sharmila Dorbala
P2860
P304
P356
10.2967/JNUMED.112.111542
P407
P577
2013-03-12T00:00:00Z