Circulating tumor cell detector based on artificial intelligence and method thereof

The invention discloses a circulating tumor cell detector based on artificial intelligence and a method thereof. The method comprises the following steps: acquiring a fluorescence image of a detected blood sample; based on an image processing technology of deep learning, implicit features are extracted from a fluorescence image of a detected blood sample, and classification processing is adopted to realize automatic classification of CTC cell types. Therefore, the type labels of the CTC cells can be intelligently divided, and the identification efficiency of the CTC cells is effectively improved. 一种基于人工智能的循环肿瘤细胞检测仪及其方法，其获取被检测血液样本的荧光图像；基于深度学习的图像处理技术，从被检测血液样本的荧光图像中提取隐含特征，并采用分类处理来实现CTC细胞的类型的自动化划分。这样，可以对CTC细胞的类型标签进行智能化的划分，有效地提高CTC细胞的鉴定效率。