| 基于灰度共生矩阵的乳腺肿瘤纹理特征提取 |
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| 引用本文： | 林森森,姜新国,彭小芳,汪秀玲,王阿明.基于灰度共生矩阵的乳腺肿瘤纹理特征提取[J].徐州医学院学报,2013(3):196-198. |
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| 作者姓名： | 林森森 姜新国 彭小芳 汪秀玲 王阿明 |
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| 作者单位： | [1]徐州医学院公共卫生学院,江苏徐州221004 [2]徐州医学院附属医院放射科,江苏徐州221002 [3]徐州医学院数理教研室,江苏徐州221004 |
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| 基金项目： | 徐州医学院公共卫生学院课题项目（2011） |
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| 摘 要： | 目的利用灰度共生矩阵模型计算乳腺肿瘤纹理特征。方法对收集到的80例乳腺钼靶X线图像，利用灰度共生矩阵模型计算其纹理特征指标。结果灰度共生矩阵纹理特征指标可以为乳腺肿瘤的辅助诊断提供依据。结论图像纹理分析可以应用于乳腺肿瘤的判别，为乳腺肿瘤医学图像辅助诊断的实现提供有效分析方法。
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| 关 键 词： | 灰度共生矩阵 乳腺肿瘤 纹理特征 |
Extraction of breast tumor texture features based on gray level co -occurrence matrix |
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| LIN Sensen,JIANG Xinguo,PENG Xiaofang,WANG Xiulingz,WANG Aming.Extraction of breast tumor texture features based on gray level co -occurrence matrix[J].Acta Academiae Medicinae Xuzhou,2013(3):196-198. |
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| Authors: | LIN Sensen JIANG Xinguo PENG Xiaofang WANG Xiulingz WANG Aming |
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| Institution: | 3 ＊ ( 1. School of Public Health, Xuzhou Medical College, Xuzhou, Jiangsu 221004, China; 2. Department of Radiology, The Affiliated Hospital of Xuzhou Medical College, Xuzhou, Jiangsu 221002 ; 3. Department of Mathematics and Physics, Xuzhou Medical College, Xuzhou, Jiangsu 221004) |
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| Abstract: | Objective To calculate texture features of breast tumor with the gray level co - occurrence matrix （ GL- CM ） model. Methods The texture features of collected 80 cases molybdenum target X - ray images are extracted with the GLCM model. Results Analysis of GLCM properties can provide evidences for aided diagnosis of breast tumor. Conclusion Image texture analysis can be applied in breast tumor discrimination, provide effective analysis method for the aided diagnosis system of medical images of the breast tumor. |
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| Keywords: | gray level co- occurrence matrix breast tumor texture feature |
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