Deep Learning’s Application on Radiology and Pathological Image of Lung Cancer: A Review

Abstract

This paper reviews the background of deep learning, also the diagnosis and prognosis analysis of lung cancer and the application of deep learning on the diagnosis and prognosis analysis of lung cancer. Accurate diagnosis and prognosis are crucial for patients to receive appropriate planning and management of lung cancer treatment. With medical imaging techniques rapidly developing, radiology has been and always is a widely used method for clinical examination and diagnosis. There is an interplay of demands and challenges in computeraided diagnosis based on accurate and efficient analysis of pathological images. In recent years, artificial intelligence, especially deep learning, has shown great potential in tumor region recognition, prognosis prediction, tumor microenvironment characterization, metastasis detection and other pathological image analysis tasks.