首页> Medical & biological engineering & computing> Multiclass tumor identification using combined texture and statistical features.

Multiclass tumor identification using combined texture and statistical features.

导出 LinkOut

翻译打印收藏纠错

第一作者： Ghazanfar,Latif

第一单位： Computer Science Department, Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia. glatif@pmu.edu.sa.;Université du Québec a Chicoutimi, 555 boulevard de l'Université, Chicoutimi, Saguenay, QC, G7H2B1, Canada. glatif@pmu.edu.sa.

作者： Ghazanfar,Latif ^[1] ; Abul,Bashar ^[2] ; D N F,Awang Iskandar ^[3] ; Nazeeruddin,Mohammad ^[4] ; Ghassen Ben,Brahim ^[4] ; Jaafar M,Alghazo ^[5]

作者单位： Computer Science Department, Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia. glatif@pmu.edu.sa.;Université du Québec a Chicoutimi, 555 boulevard de l'Université, Chicoutimi, Saguenay, QC, G7H2B1, Canada. glatif@pmu.edu.sa. ^[1] Department of Computer Engineering, Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia. ^[2] Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. ^[3] Computer Science Department, Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia. ^[4] Department of Electrical and Computer Engineering, Virginia Military Institute, Lexington, VA, 24450, USA. ^[5]

关键词 Glioma tumor Magnetic resonance imaging Multiclass tumor classification Statistical features Texture features Tumor detection

医学主题词人类(Humans);贝叶斯定理(Bayes Theorem);脑肿瘤(Brain Neoplasms);神经胶质瘤(Glioma);小波分析(Wavelet Analysis)

DOI 10.1007/s11517-022-02687-w

PMID 36323980

发布时间 2023-01-11

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交