Performance study of automatic detection of pulmonary nodules based on convolutional neural network

Abstract

In the medical field, the continuous monitoring of the probability of lung cancer incidence can be known that the actual growth rate is becoming faster and faster, and the complications become more and more serious. According to the research and analysis of experts in various fields, it is found that haze is one of the main factors leading to the occurrence of lung cancer in human body, especially in the urban environment. How to use the theory of artificial intelligence technology to design the automatic detection system of lung nodules is the core issue discussed in the field of medical science and technology at present. On the basis of understanding the status quo of convolutional neural network and lung cancer diagnosis and treatment, this study uses CAD system to complete the detection work from four steps, and combines practical cases to judge the detection performance of this technology, in order to lay a foundation for the development of technical innovation in the medical field.