Cell image automatic classification method and system based on deep learning

The invention provides a cell image automatic classification method and system based on deep learning, and the method mainly comprises the following steps: processing and analyzing a cell image through an image segmentation and classification algorithm based on the deep learning technology, and accurately extracting a single cell in images; and on the basis, effectively distinguishing normal cellsand different types of pathological cells and quantitatively evaluating image classification effect. An instance segmentation network model and a deep convolution network model are effectively combined, automatic and accurate classification of cell images is realized, auxiliary information is provided for doctors, the doctors are helped to perform quantitative analysis, and the working efficiencyis improved. 本发明公开提供了一种基于深度学习的细胞图像自动分类方法及系统，主要包括如下部分：通过基于深度学习技术的图像分割和分类算法处理和分析细胞图像，准确提取图像中的单个细胞，在此基础上有效区分正常细胞以及不同类型的病变细胞，并且对图像分类效果进行量化评估。该方法有效地结合实例分割网络模型和深度卷积分类网络模型，实现细胞图像的自动准确分类，为医师提供辅助信息，帮助其进行定量分析，提高工作效率。