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Classification of brain disease in magnetic resonance images using two-stage local feature fusion
Li, Tao1,2; Li, Wu1,2; Yang, Yehui1,2; Zhang, Wensheng1,2
Source PublicationPLOS ONE
2017-02-16
Volume12Issue:2Pages:0
SubtypeArticle
AbstractBackground
KeywordNone
WOS HeadingsScience & Technology
DOI10.1371/journal.pone.0171749
WOS KeywordMILD COGNITIVE IMPAIRMENT ; PRODROMAL ALZHEIMERS-DISEASE ; PARKINSONS-DISEASE ; CORTICAL THICKNESS ; PATTERN-CLASSIFICATION ; MR-IMAGES ; DIAGNOSIS ; DEPRESSION ; SCALE ; PROGRESSION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61432008 ; 81171314 ; 61532006 ; 61305018)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000394424500051
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14381
Collection精密感知与控制研究中心_人工智能与机器学习
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Li, Tao,Li, Wu,Yang, Yehui,et al. Classification of brain disease in magnetic resonance images using two-stage local feature fusion[J]. PLOS ONE,2017,12(2):0.
APA Li, Tao,Li, Wu,Yang, Yehui,&Zhang, Wensheng.(2017).Classification of brain disease in magnetic resonance images using two-stage local feature fusion.PLOS ONE,12(2),0.
MLA Li, Tao,et al."Classification of brain disease in magnetic resonance images using two-stage local feature fusion".PLOS ONE 12.2(2017):0.
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