Globally

the incidence and mortality of lung cancer ranks first among malignant tumors. In China

with the aging of population

lung cancer has become one of the important diseases that seriously harm peoples life and health. For years

the 5-year survival rate of advanced lung cancer was only about 15%. Early detection

early diagnosis and early treatment are the key to improve the survival rate and reduce the mortality of lung cancer. In recent years

artificial intelligence techniques have developed rapidly and have been applied in clinical diagnosis and treatment. Among them

the field of lung cancer imaging diagnosis is the fastest developing and relatively mature field of artificial intelligence technology

which plays an important role in the diagnosis and treatment of lung cancer. The application of deep mining of image data by artificial intelligence aided covers all aspects of lung cancer diagnosis and treatment

and has made great progress in image reconstruction

pulmonary nodule detection

pulmonary nodule classification

nodule measurement

efficacy evaluation

histopathological diagnosis and other fields. This paper focused on the progress of artificial intelligence in lung cancer image segmentation

classification

efficacy evaluation and image reconstruction

so as to better understand and promote the application of artificial intelligence technology in lung cancer.