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基于边界特征的乳腺肿瘤超声图像识别 被引量:5

The Recognition of Breast Tumor Based on Ultrasonic Image Contour Features
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摘要 通过对乳腺肿瘤边界特征的分析,得到边界的特征量似圆度,面积比率,长宽比组成的特征矢量,最后用反向传播人工神经网络(BP)的算法对经病理证实的119幅乳腺良、恶性肿块超声图像进行分类识别。BP神经网络对良、恶性肿瘤正确识别率分别为89.7%、73.5%。量化后的乳腺超声图像肿瘤轮廓特征结合BP神经网络可以比较有效的用于肿瘤的良、恶性识别。 The purpose of this article is to evaluate the role of quantitative margin features in the computeraided diagnosis of malignant and benign solid breast masses using sonographic imaging. The tumour was seperated by the expert . Three contour features eireurity(C) ,area ratio(A) and length width ratio(LWR) was eaeulated from the tumour contour. Then baek-propagation(BP) neural network with contour features was used to classify tumors into benign and malignant. Results from 119 ultrasonic images have been applied in this experiment. BP neural network yielded the following results: 89.7% and 73.5% respectively. The methods applied in this paper are helpful to raise the eorrectanee of breast cancer diagnosis.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2006年第6期1237-1240,共4页 Journal of Biomedical Engineering
基金 四川省青年科技基金资助课题(05ZQ026-019) 四川省应用基础研究项目资助(03JY029-072-2)
关键词 乳腺肿瘤 超声图像 轮廓特征 BP神经网络 Breast tumor Ultrasonic image Contour feature BP neural network
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参考文献10

  • 1American Cancer Society.Cancer facts and figures; 2001
  • 2Stavros A,Thickman D,Rapp C,et al.Solid breast nodules:use of sonography to distinguish between benign and malignant lesions.Radiology,1995;196:123
  • 3Yi Zheng,James F.John J Gisvold.Reduction of breast biopsies with a modified self-organizing Map.IEEE Transactions on Neural Networks,1997; 8 (6):2
  • 4Giger ML,Al-Hallaq H,Huo Z,et al.Computerized analysis of lesions in US images of the breast.Acad Radiol,1999;6:665
  • 5Sahiner B,LeCarpentier GL,Chan HP,et al.Computerized characterization of breast masses using three-dimensional ultrasound images.Proc SPIE Med Imaging,1998;3338:301
  • 6Chandra M,Theodore W,Sarah A.Computer-based margin analysis of breast sonography for diffentiating malignant and benign masses.J Ultrasound Med,2004; 23:1201
  • 7Kilday J,Palmieri F.Fox MD.Classsifying mamographic lesions using computerized image analysis.IEEE Trans Med Imaging,1993;12:664
  • 8YI-Hong Chou,Chui-Mei Tiu,et al.Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis.Ultrasound in Med & Bio,2001;27(11):1493
  • 9Chen DR,Chang RF,Huang YL.Computer-aided diagnosis applied to US of solid breast nodules by using nueral networks.Radiology,1999;213:407
  • 10陈道瑾,甘毅,张阳德.乳腺活检方法的比较[J].中国现代医学杂志,2004,14(11):74-76. 被引量:6

二级参考文献21

  • 1[1]Breast Cancer Facts & Figures,1996.American Cancer Society,Surveillance Research,1995.
  • 2张福元,韩要法,王玉龙.852例乳房肿块临床分析[J].现代医药卫生,2001,17(5):342-343.
  • 3[3]Pettine S,Place R,Babu S,et al.Stereotactic breast biopsy is accurate,minimally invasive,and cost effective.Am J Surg,1996,171:474-476.
  • 4[5]Burbank F.Stereotactic breast biopsy:Its present,and its future[J].Am J Surg,1996,62:128-150.
  • 5[6]Parker S,Burbank F,Tabar L,et al.Pereutaneous large core breast biopsy:A multi-institutional study[J].Radiology,1994,193:359-364.
  • 6[9]Parker S,Israel P.The evolution of minimally invasive breast biopsy:From FNA to percutaneous incisional and biopsy [J].Surg Technology International V,1996,251:156.
  • 7[10]Burbank F,Parker SH,Forgarty TJ.Stereotactic breast biopsy:Improved tissure harvesting with the Mammotome[J].Am J Surg,1996,62:738-744.
  • 8[12]Jackman R.Burbank F,Parker S,et al.Atypical ductal hyperplasia.Diagnosed with stereotactic biopsy.Improved reliability with mammotomy.Radiological Socirty of North America,82nd Scientific Assembly and Annual Meeting,Chicago III,December 1996.
  • 9[14]Ernster V,Barclay J,Kerlikowske K,Grady D,Henderson I.Incidence of and treatment for ductal careinoma-in-situ of the breast[J].J Am Mad Assoc,1996,275:913-918.
  • 10[15]Hermann G,Janus C,Schwartz IS,et al.Occult malignant breast lesions in 114 patients:Relationship to age and the presence of microcalcifications[J].Radiology,1988,169:321-324.

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