Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
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- 作者：Jelmer M. Wolterink ; a ; j.m.wolterink@umcutrecht.nl" class="auth_mail" title="E-mail the corresponding author ; Tim Leinerb ; t.leiner@umcutrecht.nl" class="auth_mail" title="E-mail the corresponding author ; Bob D. de Vosa ; b.d.devos-2@umcutrecht.nl" class="auth_mail" title="E-mail the corresponding author ; Robbert W. van Hamersveltb ; r.w.vanhamersvelt-3@umcutrecht.nl" class="auth_mail" title="E-mail the corresponding author ; Max A. Viergevera ; m.viergever@umcutrecht.nl" class="auth_mail" title="E-mail the corresponding author ; Ivana I&scaron ; guma ; i.isgum@umcutrecht.nl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Coronary artery calcifications ; Automatic calcium scoring ; Convolutional neural network ; Cardiac CT angiography
- 刊名：Medical Image Analysis
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：34
- 期：Complete
- 页码：123-136
- 全文大小：2597 K
文摘
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An automatic coronary calcium scoring method in coronary CT angiography is proposed.
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The method uses paired convolutional neural networks to identify calcified voxels.
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The method allows fast and accurate coronary calcium detection in CT angiography.
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Ensembles of paired convolutional networks outperformed individual models.
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Automatic coronary calcium scoring in CTA allows cardiovascular risk stratification.