Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 2
Plaque characterization
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Cardiovascular Diseases (CVDs) are responsible for a third of all deaths in women and more than a half in men. Despite continuous improvements in treatment devices and imaging, there is still a rise in the morbidity rate from CVDs each year. Compiled by experts in the field, a thorough investigation is given to current topics and problems relating to CVDs and it will enable the scientific and medical community to search for the most effective strategies for atherosclerotic for dealing with these diseases. As one of the most prominent diseases in our society, CVD requires dedicated analysis and investigation in order to reduce the mortality rate worldwide. Scholars, biomedical engineers and medical practitioners will greatly benefit from the detailed information in this book as it will give a better understanding of the causes, diagnosis and treatment of CVD.
Copyright © IOP Publishing Ltd 2019
Online ISBN: 978-0-7503-2002-3
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Print ISBN: 978-0-7503-1999-7
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Pages 1-1 to 1-39
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Coronary and carotid artery calcium detection, its quantification and grayscale morphology-based risk stratification in multimodality big data: a review
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Pages 2-1 to 2-38
Risk of coronary artery disease: genetics and external factors
Pages 3-1 to 3-36
Wall quantification and tissue characterization of the coronary artery
Pages 4-1 to 4-29
Rheumatoid arthritis: its link to atherosclerosis imaging and cardiovascular risk assessment using machine-learning-based tissue characterization
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Pages 5-1 to 5-33
A deep-learning fully convolutional network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk
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Pages 6-1 to 6-33
Deep-learning strategy for accurate carotid intima–media thickness measurement: an ultrasound study on a Japanese diabetic cohort
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Pages 7-1 to 7-18
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients
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Pages 8-1 to 8-32
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in a diabetes cohort
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Pages 9-1 to 9-45
Plaque tissue morphology-based stroke risk stratification using carotid ultrasound: a polling-based PCA learning paradigm
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Pages 10-1 to 10-46
Multiresolution-based coronary calcium volume measurement techniques from intravascular ultrasound videos
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Pages 11-1 to 11-21
A cloud-based smart lumen diameter measurement tool for stroke risk assessment during multicenter clinical trials
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