A Novel Framework for Lymphatic Invasion Detection Based on Efficient Medical Images Translation Network

Abstract

Nowadays, cancer is increasingly affecting human health. Lymphatic Invasion (LI) is a form of lymphatic metastasis, which is essential in clinical diagnosis. To improve the accuracy and efficiency of LI's pathological diagnosis, we intend to utilize artificial intelligence technology such as image to image translation based on the generative and adversarial network to realize LI's intelligent quantitative detection. This paper proposed a novel framework for LI detection which can be used as an auxiliary measure for pathologists.