计算机辅助的肿瘤病理诊断与分析是提高病理医生工作效率的主要手段.提出了肿瘤病理诊断系统的软硬件结构,针对图像分割、图像边界跟踪和图像特征提取等功能进行了详细设计.实验结果表明,系统很好地完成了细胞图像的分割、细胞边界跟踪和重要细胞特征参数的提取,为病理医生识别病灶提供了客观依据.
Tumor pathology diagnosis and analysis by computer pathology doctors. It proposes the software and hardware is the main means which can improve the efficiency of structure of the tumor image pathology diagnosis system. Moreover, it aims at the design of several functions such as image segmentation, boundary tracking and character distilling. The experiments show that this system completes image segmentation, boundary tracking and image character distilling well that gives pathology diagnosis doctors a lot of gist. With the help of the gist, pathology diagnosis doctors can make more external decisions.