【摘要】 使用植皮手术后小鼠的淋巴细胞作为研究目标,针对其动态形变提出一种局部形变特征,用于提取细胞形变过程中的时序信息和空间信息.该特征提取算法被应用在淋巴细胞形变数据集上,并与多个基于图像特征的形变度量算法进行了比较.实验结果表明,局部形变特征能根据形变特性准确分类细胞,在度量和分类细胞动态形变方面比基于图像特征的算法更加有效.更多还原

【Abstract】 Cell morphology is often used as a proxy measurement of cell status to understand cell physiology. Hence, the interpretation of cell dynamic morphology is a meaningful task in biomedical research. Mouse lymphocytes were collected to observe the dynamic morphology, and two datasets were thus set up. Local temporal feature was proposed to consider spatial heterogeneity and temporal regularity of cell dynamic morphology. The local temporal feature was applied to the video data of cell dynamic morphology, and compared with existing methods. Experiment results show that, the local temporal feature can outperform the existing methods and provide remarkable advances in the accuracy and robustness of the classification on both datasets.更多还原