Deep Learning Approach in Computer-Aided Detection System for Lung Cancer

摘要

Lung cancer is one of the most aggressive type of cancer and the possibility to detect it at early stage can save lot of the patient life worldwide. This article considers approaches to build automated diagnose system based on the lung cancer diagnose task. Mainly, 3D convolution and recurrent neural networks are considered based on the latest research works. Finally, we compare the overall accuracy of these networks on lung cancer detection problem.