Semi-supervised pattern classification of medical images: application to mild cognitive impairment (MCI).

Semi-supervised pattern classification of medical images: application to mild cognitive impairment (MCI).
复制标题

DOI:
10.1016/j.neuroimage.2010.12.066
复制
发表时间:
2011-04-01
期刊:
影响因子:
5.7
通讯作者:
Alzheimer's Disease Neuroimaging Initiative
Alzheimer's Disease Neuroimaging Initiative
中科院分区:
医学1区
文献类型:
--
作者:
Filipovych R;Davatzikos C;Alzheimer's Disease Neuroimaging Initiative

文献摘要

参考文献

被引文献

相似文献

许多进行性疾病的特点是对特定亚组患者的诊断不明确或短暂。在这种情况下,常用的监督模式识别方法可能不是最合适的方法来获得基于图像的生物标志物,因为它依赖于分类标记数据的可用性(例如,患者和对照组)。在本文中,我们探讨了半监督模式分类的潜力,在缺乏精确诊断信息的情况下为某些个体提供基于图像的生物标志物。我们采用半监督支持向量机(SVM),并将其应用于诊断不确定患者的MR脑图像分类问题。我们研究了轻度认知障碍(MCI) ADNI参与者的连续扫描模式,并提出在缺乏足够的MCI个体随访评估的情况下,半监督策略可能比目前采用的全监督范式更合适。
Many progressive disorders are characterized by unclear or transient diagnoses for specific subgroups of patients. Commonly used supervised pattern recognition methodology may not be the most suitable approach to deriving image-based biomarkers in such cases, as it relies on the availability of categorically labeled data (e.g., patients and controls). In this paper, we explore the potential of semi-supervised pattern classification to provide image-based biomarkers in the absence of precise diagnostic information for some individuals. We employ semi-supervised support vector machines (SVM) and apply them to the problem of classifying MR brain images of patients with uncertain diagnoses. We examine patterns in serial scans of ADNI participants with mild cognitive impairment (MCI), and propose that in the absence of sufficient follow-up evaluations of individuals with MCI, semi-supervised strategy is potentially more appropriate than the fully-supervised paradigm employed up to date.
DOI: 10.1212/01.wnl.0000216138.69777.15
发表时间: 2006-05-23
期刊: NEUROLOGY
影响因子: 9.9
作者:
Stewart, W. F.;Schwartz, B. S.;Youssem, D.
通讯作者: Youssem, D.
DOI: 10.1016/j.jalz.2008.08.006
发表时间: 2008-11
影响因子: 14
作者:
Bain, Lisa J.;Jedrziewski, Kathy;Morrison-Bogorad, Marcelle;Albert, Marilyn;Cotman, Carl;Hendrie, Hugh;Trojanowski, John Q.
通讯作者: Trojanowski, John Q.
DOI: 10.1093/brain/awm319
发表时间: 2008-03
期刊: BRAIN
影响因子: 14.5
作者:
Kloeppel, Stefan;Stonnington, Cynthia M.;Chu, Carlton;Draganski, Bogdan;Scahill, Rachael I.;Rohrer, Jonathan D.;Fox, Nick C.;Jack, Clifford R., Jr.;Ashburner, John;Frackowiak, Richard S. J.
通讯作者: Frackowiak, Richard S. J.
DOI: 10.15288/jsa.2006.67.861
发表时间: 2006-11-01
期刊: JOURNAL OF STUDIES ON ALCOHOL
影响因子: --
作者:
Beresford, Thomas P.;Arciniegas, David B.;Laudenslager, Mark L.
通讯作者: Laudenslager, Mark L.
DOI: 10.1016/j.neuroimage.2009.08.024
发表时间: 2010-01-01
期刊: NEUROIMAGE
影响因子: 5.7
作者:
Ecker, Christine;Rocha-Rego, Vanessa;Murphy, Declan G.
通讯作者: Murphy, Declan G.