Metastatic Liver Cancer Detection by CNN Using Artificial Lesion Images

Abstract

The interpretation of liver cancer is visually performed by doctor, but it is time-consuming. Although one of the solutions is to detect the cancer lesion by using a machine learning technique, it requires a massive number of training samples. We thus aim to develop a method to synthesize various artificial cancer images by overlaying real cancer legion on CT images obtained from normal subjects. The method proposed in this paper is for lesion image synthesis considering the size, the shape and the contrast of liver cancer lesion. The synthesized images are used together with real images in order to construct an accurate cancer detector. We evaluated the proposed method through experiments, and confirmed the effectiveness of the proposed method.