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3. An automatic glioma grading method based on multi-feature extraction and fusion CPCI-S SCIE SCOPUS

作者:Zhan, TM; Feng, PP; Hong, XN; Lu, ZY; Xiao, L; Zhang, YD

作者机构:[Zhan, Tianming] Nanjing Audit Univ, Sch Technol, Nanjing, Jiangsu, Peoples R China.; [Zhan, Tianming; Xiao, Liang] Nanjing Univ Sci & Technol, Mini 更多

关键词:Computer-aided diagnosis; Feature extraction; Glioma grade; K-nearest neighbor classifier; Local binary pattern; Magnetic resonance image

来源:TECHNOLOGY AND HEALTH CARE,2017,Vol.25,Issue.S1

Scopus被引频次:1

ESI学科:MOLECULAR BIOLOGY & GENETICS

最新一期影响因子:0.724

资源类型:外文期刊论文;外文会议论文

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