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首页> 外文会议>International Conference on Image and Signal Processing >Automatic Evaluation System of FISH Images in Breast Cancer
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Automatic Evaluation System of FISH Images in Breast Cancer

机译：乳腺癌中鱼类图像自动评估系统

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摘要

The paper presents the algorithm of an automatic evaluation of the fluorescent in situ hybridization (FISH) images in order to determine HER2 status of the breast cancer samples. The algorithm is based on the accurate measurement of the red/green spot ratio (the ratio of HER2/CEN17) per cell nucleus. The main points of this algorithm is an accurate detection of the nuclei of cells and application of the color map to detect the red and green spots localized in these cells. The results of the numerical experiments concerning these two problems, as well as the assessment of the positivity or negativity of the considered cases are presented and discussed in the paper. They confirm the high efficiency of the proposed solution.
机译：本文介绍了荧光杂交（鱼类）图像的自动评估算法，以确定乳腺癌样品的HER2状态。该算法基于每个细胞核的红色/绿点比（HER2 / CEN17的比率）的精确测量。该算法的要点是对细胞核的准确检测和彩色图的应用，以检测这些细胞中定位的红色和绿色斑点。关于这两个问题的数值实验的结果，以及对审议案件的积极性或消极性的评估，并讨论了本文。它们确认了所提出的解决方案的高效率。

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