Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimers Disease Using a Machine Learning-Based Optimized Combination-Feature Set

Kim H. K.; Rhee H. Y.; Ryu C. W.; Jahng G. H.

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Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimers Disease Using a Machine Learning-Based Optimized Combination-Feature Set

机译：结合灰质体积和定量易感测绘的使用，使用机器学习的优化组合特征集预测早期的阿尔茨海默病

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《Medical Physics》 |2019年第6期|共1页
作者
Kim H. K.; Rhee H. Y.; Ryu C. W.; Jahng G. H.;
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Kyung Hee Univ Hosp Radiol Seoul South Korea;

Kyung Hee Univ Hosp Gangdong Neurol Seoul South Korea;

Kyung Hee Univ Hosp Gangdong Radiol Seoul South Korea;

Kyung Hee Univ Hosp Gangdong Radiol Seoul South Korea;

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正文语种 eng
中图分类基础医学;
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1. Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimers Disease Using a Machine Learning-Based Optimized Combination-Feature Set [J] . Kim H. K., Rhee H. Y., Ryu C. W., Medical Physics . 2019,第6期

机译：结合灰质体积和定量易感测绘的使用，使用机器学习的优化组合特征集预测早期的阿尔茨海默病
2. Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden [J] . Chiang G. C., Hu J., Morris E., AJNR. American journal of neuroradiology . 2018,第3期

机译：丘脑的定量敏感性映射：与丘脑体积，总灰质体积的关系，以及T2病变负担
3. Longitudinal gray-matter volume change in the default-mode network: utility of volume standardized with global gray-matter volume for Alzheimer's disease: a preliminary study [J] . Masami Goto, Osamu Abe, Shigeki Aoki, Radiological physics and technology . 2015,第1期

机译：默认模式网络中纵向灰色物质的体积变化：针对全球性灰色物质体积标准化的阿尔茨海默氏病实用程序：一项初步研究
4. Mapping gray matter volume and cortical thicknessin Alzheimer's disease [C] . Xiaojuan Guo, Ziyi Li, Kewei Chen, SPIE Conference on Biomedical applications in molecular, structural, and functional imaging . 2010

机译：绘制灰质体积和皮质厚度阿尔茨海默病
5. Perceived Alzheimer's disease threat as a predictor of behavior change to lower disease risk: The Gray Matters Study. [D] . Clark, Christine. 2016

机译：阿尔茨海默氏病的威胁可以作为行为改变以降低疾病风险的预测指标：灰色问题研究。
6. Quantitative susceptibility mapping of the thalamus: relationships with thalamic volume total gray matter volume and T2 lesion burden [O] . Gloria C. Chiang, James Hu, Eric Morris, -1

机译：丘脑的定量敏感性图：与丘脑体积总灰质体积和T2病变负荷的关系
7. Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden [O] . G.C. Chiang, J. Hu, E. Morris, 2018

机译：丘脑的定量敏感性映射：与丘脑体积，总灰质体积的关系，以及T2病变负担

Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimers Disease Using a Machine Learning-Based Optimized Combination-Feature Set

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