Sun Yat-sen University - Carnegie Mellon University (SYSU-CMU) Joint Institute of Engineering Guangzhou Guangdong China Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA;
Sun Yat-sen University - Carnegie Mellon University (SYSU-CMU) Joint Institute of Engineering Guangzhou Guangdong China Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Sun Yat-sen University - Carnegie Mellon University (SYSU-CMU) Shunde International Joint Research Institute Shunde Guangdong China School of Electronics and Information Technology Sun Yat-sen University Guangzhou Guangdong China;
Alzheimer's disease; whole brain segmentation; support vector machine; principal component analysis;
机译:在3T和7T的阿尔茨海默病中自动化多地图集分段及阿尔茨海默病的疾病:atlas组成最佳效果?
机译:基于多阿特拉斯MRI的纹章分割,用于123 I-FP-CIT SPECT(DAT-SPECT)与基于螺栓法和基于SPECT-ATLAS的分段方法进行了准确诊断帕金森病/综合征的准确诊断
机译:一种基于多图谱的自动化解剖学猕猴脑MRI分割和PET动力学提取的方法
机译:基于多标志的全脑细分的阿尔茨海默病自动诊断
机译:通过基于动态局部阈值的分割方法对阿尔茨海默氏病患者的脑部MRI图像进行准确的体积测定
机译:3T和7T时阿尔茨海默氏病海马和海马亚区的自动多图谱分割:哪种图谱组合最有效?
机译:准确的Alzheimer疾病的全脑细分结合了自适应统计阿特拉斯和多阿特拉斯