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首页> International journal of computer assisted radiology and surgery> Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.

Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.

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作者： Xiaopan,Xu ^[1] ; Xi,Zhang ^[1] ; Qiang,Tian ^[2] ; Guopeng,Zhang ^[1] ; Yang,Liu ^[1] ; Guangbin,Cui ^[2] ; Jiang,Meng ^[1] ; Yuxia,Wu ^[1] ; Tianshuai,Liu ^[1] ; Zengyue,Yang ^[3] ; Hongbing,Lu ^[4]

作者单位： School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, China. ^[1] Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China. ^[2] Department of Urology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China. ^[3] School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, China. luhb@fmmu.edu.cn. ^[4]

关键词 Bladder cancer Feature selection MRI RFE-SVM SMOTE Texture analysis Tumor differentiation

主题词女(雌)性(Female);人类(Humans);成像, 三维(Imaging, Three-Dimensional);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);敏感性与特异性(Sensitivity and Specificity);膀胱(Urinary Bladder);膀胱肿瘤(Urinary Bladder Neoplasms)

DOI 10.1007/s11548-017-1522-8

PMID 28110476

发布时间 2018-12-02

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International journal of computer assisted radiology and surgery

International journal of computer assisted radiology and surgery

2017年12卷4期

645-656页

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International journal of computer assisted radiology and surgery

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International journal of computer assisted radiology and surgery

2017年12卷4期

645-656页

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