| 乳腺辅助诊断系统中可疑肿块分割方法研究 |
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| 引用本文： | 沈鹍霄,兰义华,卢玉领,尚耐丽,马晓普.乳腺辅助诊断系统中可疑肿块分割方法研究[J].计算机科学,2015,42(Z11):195-198, 202. |
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| 作者姓名： | 沈鹍霄 兰义华 卢玉领 尚耐丽 马晓普 |
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| 作者单位： | 南阳师范学院生命科学与信息技术系 南阳473061,南阳师范学院计算机与信息技术系 南阳473061,南阳师范学院生命科学与信息技术系 南阳473061,南阳师范学院生命科学与信息技术系 南阳473061,南阳师范学院计算机与信息技术系 南阳473061 |
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| 基金项目： | 本文受国家自然科学基金(61401242),南阳师范学院高层次引进人才科研启动项目(zx2014058)资助 |
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| 摘 要： | 乳腺癌是女性最常见的恶性肿瘤之一,早发现早治疗是防治的关键。而计算机辅助诊断技术能够有效地对具有乳腺癌重要特征的可疑肿块进行分割、检测和分类,从而提高影像医生的诊断效率和准确率。综述了目前出现的一些较好的乳腺可疑肿块分割方法,对这些算法进行了深入的研究,对它们的优点和性能进行了对比和分析。最后展望了基于肿块分割方法可能提高精准度的一些途径。
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| 关 键 词： | 计算机辅助诊断 乳腺X线图像 基于内容的图像检索 乳腺肿块 图像分割 |
Research on Segmentation Methods in Breast Computer-aided Detection |
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| SHEN Kun-xiao,LAN Yi-hu,LU Yu-ling,SHANG Nai-li and MA Xiao-pu.Research on Segmentation Methods in Breast Computer-aided Detection[J].Computer Science,2015,42(Z11):195-198, 202. |
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| Authors: | SHEN Kun-xiao LAN Yi-hu LU Yu-ling SHANG Nai-li and MA Xiao-pu |
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| Affiliation: | School of Life Science and Information Technology,Nanyang Normal University,Nanyang 473061,China,School of Computer and Information Technology,Nanyang Normal University,Nanyang 473061,China,School of Life Science and Information Technology,Nanyang Normal University,Nanyang 473061,China,School of Life Science and Information Technology,Nanyang Normal University,Nanyang 473061,China and School of Computer and Information Technology,Nanyang Normal University,Nanyang 473061,China |
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| Abstract: | Breast cancer, as one of the common malignant tumor,remains a leading cause of cancer deaths among women.Early diagnosis and treatment is an efficient way of reducing the morbidity of breast cancer.Computer-aided diagnosis(CAD) can improve the efficiency and accuracy of diagnosis.A brief review of breast mass segmentation was provided in this thesis.We further analyzed and compared the advantages and performance of these methods.Finally,some means of the methods used to improve the segmentation accuracy were summarized. |
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| Keywords: | Computer-aided diagnosis(CAD) Mammogram CBIR Breast mass Image segmentation |
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