Abstract

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Title:: Applications of artificial intelligence in lung nodule detection and lung cancer diagnosis

Author(s):: WANG Xinyu1; ZHAO Jingwen1; LIU Xiang1; SHI Yunyu1; SHE Yunlang2; 1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China 2. Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China

Keywords:: Keywords: lung cancer lung?odule artificial intelligence deep learning imaging review

Abstract:: Abstract: Lung tumor is one of the largest malignant tumors threatening human health and life. The detection of lung?odules and the early diagnosis of lung cancer can help patients start treatment as soon as possible. As the development of precision treatment, artificial intelligence is playing an increasingly important role for it can realize the detection, segmentation and property determination of lung nodules and lung cancer, greatly improve the diagnostic efficacy, and optimize the allocation of medical resources. Therefore, artificial intelligence methods based on medical images have been widely used in the detection, early diagnosis, grading and prognosis of lung nodules and lung cancer. Herein the application and development of artificial intelligence in the detection of lung?odules and the early diagnosis of lung cancer based on CT, PET, PET-CT, 3D-CT, MR and pathological images are reviewed, and the potential challenges and future research are further put forward.