Research on Classification Algorithm of Liver Multi-Feature Fusion Based on Deep Learning

摘要：

　　Hepatocellular carcinoma(HCC)is the third most common cancer in the world,which seriously threatens peoples life and health.With the rapid development of medical imaging technology,it is of great significance to classify the benign and malignant tumors of HCC through computer-aided techniques.In this paper,a classification algorithm using the multiple deep features fusion is designed.By designing the feature fusion layer network based on the deep learning framework,the deep features and textural features are integrated; the end-to-end classification algorithm using deep learning feature fusion is realized,which has higher classification accuracy and algorithm stability,and can get better classification results than the traditional textural features.

关键词： Liver Cancer Medical Image Processing Deep Learning Multi-Feature Fusion

作者: Dandan Liu Weibin Mu Jingyu Li Yu Sun Chunlan Zhao Jianyu Hou Lei Wang Lin Lin

作者单位: Qiqihar Medical University,Qiqihar,Heilongjiang Province,China

会议类型: 国际会议

会议名称: 2019 4th International Industrial Informatics and Computer Engineering Conference (IIICEC 2019)2019年第四届国际工业信息学和计算机工程会议(IIICEC 2019)

会议地点: 三亚

会议语种:英文

页码: 193-196

在线出版日期: 2019-12-30（万方平台首次上网日期，不代表论文的发表时间）