乳房x光片胸肌识别在乳腺癌计算机辅助诊断中的应用

S. A. Hassan, M. Sayed, F. Farag, G. Gouhar
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引用次数: 4

摘要

在乳腺癌计算机辅助诊断(CAD)系统中,乳房区域的提取和胸肌切除后乳房轮廓的勾画是必不可少的预处理步骤。首先,它允许对异常的搜索仅限于乳房区域,而不会受到乳房x光检查背景的不当影响。本文提出了一种利用迭代阈值法在乳房x线照片中识别和去除胸肌的新方法。我们的算法还可以识别异常腋窝淋巴结的存在,这是乳腺癌的主要迹象,并检测乳房边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pectoral muscle identification in mammograms for Computer Aided Diagnosis of breast cancer
In Computer Aided Diagnosis (CAD) systems of breast cancer, extraction of the breast region and delineation of the breast contour with the pectoral muscle being removed is an essential preprocessing step. Primarily it allows the search for abnormalities to be limited to the region of the breast without undue effect from the background of the mammogram. This paper presents a new method for the identification and removal of the pectoral muscle in medio-Iateral oblique (MLO) view of mammogram using iterative thresholding. Our algorithm also identifies the presence of abnormal axillary lymph nodes, which is a major sign of breast carcinoma, and detects the breast border.
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