利用支持向量机对癌细胞的识别

SVM Identification of Cancer

癌细胞识别是数字图像处理和模式识别领域的一个研究热点,在临床上也是一个比较有意义的研究课题,本文利用支持向量机的方法,通过提取细胞的特征来分类和识别癌细胞。首先收集彩色图像,对图像进行预处理,之后是进行分割及对单细胞和多细胞的特征提取,最后实现对癌变细胞的识别和分类。

Identification of cancer cells is a digital image processing and pattern recognition research focus areas, but also in a more clinically meaningful research, we use SVM method, feature extraction and classification of cells to identify cancer cells. First collect color images, image preprocessing, segmentation, and after a single-cell and multi-cell feature extraction, and finally achieve the identification and classification of cancerous cells.