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基于不同痴呆早期诊断系统分类

Dissimilarity-based Classification of MRIs for Early Diagnosis of Dementia
课程网址: http://videolectures.net/ssspr2010_loog_dbc/  
主讲教师: Marco Loog
开课单位: 代尔夫特理工大学
开课时间: 2010-09-13
课程语种: 英语
中文简介:
我们提出了使用基于相异性的分类在早期阶段检测痴呆的可能性。该方法基于MR脑部扫描的非刚性配准,这非常适合基于不相似性的治疗。如所讨论的,不需要经历构建图谱等的困难过程,因为可以以成对方式容易地执行配准,并且可以以这种方式直接计算相异度度量。实验表明,5年内痴呆预测的分类准确率为88%[特异性为82%,灵敏度为93%],证明了该方法有助于早期诊断痴呆的潜力。
课程简介: We present the possibility of detecting dementia in an early stage using dissimilarity-based classification. The approach is based on the nonrigid registration of MR brain scans, which lends itself very well for a dissimilarity-based treatment. As discussed, there is no need to go trough the difficult process of building an atlas or the like, as the registration can be easily performed in a pairwise fashion and a dissimilarity measure can be computed directly in this way. The experiments show that a classification accuracy of 88% can attained for prediction of dementia within 5 years [with a specificity of 82% and a sensitivity of 93%], demonstrating the potential of the method to aid in early diagnosis of dementia.
关 键 词: 模式识别; 老年痴呆症的早期诊断; 磁共振脑扫描
课程来源: 视频讲座网
最后编审: 2020-06-29:wuyq
阅读次数: 50