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Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy.

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第一作者： Sunhua,Wan

第一单位： Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA.

作者： Sunhua,Wan ^[1] ; Hsiang-Chieh,Lee ^[2] ; Xiaolei,Huang ^[3] ; Ting,Xu ^[1] ; Tao,Xu ^[4] ; Xianxu,Zeng ^[5] ; Zhan,Zhang ^[6] ; Yuri,Sheikine ^[7] ; James L,Connolly ^[7] ; James G,Fujimoto ^[2] ; Chao,Zhou ^[8]

作者单位： Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA. ^[1] Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, MIT, Cambridge, MA 02139, USA. ^[2] Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA. Electronic address: xih206@lehigh.edu. ^[3] Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015, USA. ^[4] Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015, USA; The Third Affiliated Hospital of Zhengzhou University, Henan, China. ^[5] The Third Affiliated Hospital of Zhengzhou University, Henan, China. ^[6] Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA. ^[7] Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015, USA; Center for Photonics and Nanoelectronics, Lehigh University, Bethlehem, PA 18015, USA; Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA. Electronic address: chaozhou@lehigh.edu. ^[8]

关键词 Local binary patterns Optical coherence microscopy Texture features Tissue classification

医学主题词算法(Algorithms);乳房(Breast);乳腺肿瘤(Breast Neoplasms);女(雌)性(Female);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);显微镜检查, 共焦(Microscopy, Confocal);模式识别, 自动(Pattern Recognition, Automated);ROC曲线(ROC Curve);结果可重复性(Reproducibility of Results);敏感性与特异性(Sensitivity and Specificity);体层摄影术, 光学相干(Tomography, Optical Coherence)

DOI 10.1016/j.media.2017.03.002

PMID 28327449

发布时间 2018-12-02

基金项目

R00 EB010071/EB/NIBIB NIH HHS/United States R21 EY026380/EY/NEI NIH HHS/United States R01 CA075289/CA/NCI NIH HHS/United States R01 GM098430/GM/NIGMS NIH HHS/United States R01 CA178636/CA/NCI NIH HHS/United States

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