HER2/CEN17 biomarkers detection in CISH images

Tomasz Leś, T. Markiewicz, W. Kozlowski, Urszula Brzóskowska
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Abstract

The article presents an algorithm of HER2/CEN17 genes biomarkers detection in CISH images (Chromogenic in situ hybridization) which supports the diagnosis of the breast cancer. The algorithm is based on morphological transformations, the usage of structural elements (strel objects) and application of distance function. The developed transformation increases the contrast between biomarkers and background which makes possible the use of simple threshold methods for final detection of biomarkers.
CISH图像中HER2/CEN17生物标志物的检测
本文提出了一种在CISH(显色原位杂交)图像中检测HER2/CEN17基因生物标志物的算法,为乳腺癌的诊断提供支持。该算法基于形态变换、结构元素(strel对象)的使用和距离函数的应用。所开发的转换增加了生物标志物和背景之间的对比度,这使得使用简单的阈值方法进行生物标志物的最终检测成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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