Abstract
Cancer is one of the major social problems, and one in three Japanese people die from cancer. Cancer metastasis is thought to make treatment difficult, and recently CTCs have been attracting attention for early detection of metastasis. Circulating Tumor Cells(CTCs) are cancer cells that break away from tumor cite and circulate in the blood. CTCs have conventionally been detected by expensive machines analysis or visual inspection by specialists. In this paper, we propose to detect CTCs from blood images using differences in surface brightness and circularity. In the experiment, CTCs are detected in two types of images: individual images and entire images. In the individual images, the most effective number of axes is determined by changing the conditions. Then, CTCs are detected in the entire image using the optimal number of axes obtained. As a result, good results are obtained for the individual images as a whole, but may not be sufficient for some types of cancer. When the experiment is performed on the entire image with 6 axes, which is considered to be the optimal number of axes, cells that appear to be CTCs are detected.
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