Author(s)

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

Corresponding Author

Weibin Mu

Abstract

Hepatocellular carcinoma (HCC) is the third most common cancer in the world, which seriously threatens people's 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.

Keywords

Liver Cancer; Medical Image Processing; Deep Learning; Multi-Feature Fusion