| 基于乳腺肿瘤超声图像的灰色理论识别 |
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| 引用本文： | 龚美霞,金明,胡美怡,胡小丽. 基于乳腺肿瘤超声图像的灰色理论识别[J]. 山西电子技术, 2010, 0(5): 9-10,16 |
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| 作者姓名： | 龚美霞 金明 胡美怡 胡小丽 |
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| 作者单位： | [1]南京信息职业技术学院,江苏南京210046 [2]南京市玄武区妇幼保健所,江苏南京210016 |
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| 摘 要： | 乳腺肿瘤边界特征量如似圆度,面积比率,边界粗糙度、长宽比等,是鉴别良、恶性肿瘤的重要特征。利用灰色理论中的待诊病例与良性、恶性肿瘤的关联度的阀值,即可判断出是良性还是恶性肿瘤。实验表明,在76幅待诊病例中,良性肿瘤识别正确率达到87.5%,恶性肿瘤识别正确率达到75%。该方法较为有效地识别良性、恶性乳腺肿瘤。
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| 关 键 词： | 乳腺肿瘤 超声图像 边界特征 灰色关联 |
The Recognition of Grey Theory of Breast Tumor Based on Ultrasonic Image |
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| Gong Mei-xia,Jin Ming,Hu Mei-yi,Hu Xiao-li. The Recognition of Grey Theory of Breast Tumor Based on Ultrasonic Image[J]. Shanxi Electronic Technology, 2010, 0(5): 9-10,16 |
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| Authors: | Gong Mei-xia Jin Ming Hu Mei-yi Hu Xiao-li |
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| Affiliation: | 1.Nanjing College of Information Technology,Nanjing Jiangsu 210046,China;2.Nanjing Xuanwu District Maternity and Child Care,Nanjing Jiangsu 210016,China) |
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| Abstract: | Parameters for margin features of breast tumor such as circularity,area ratio,contour roughness,length width ratio are the important characteristics to identify the benign or malignant tumor.The purpose of this article is to perform the diagnosis based on grey relation between the cases that to be diagnosed and benign or malignant tumor.Results from 76 ultrasonic images have shown that the identification accuracy of benign or malignant tumor are 87.5% and75% respectively.The methods applied in this paper can make an effective diagnosis for breast tumor. |
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| Keywords: | breast tumor ultrasonic image contour feature grey relation |
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