Research on CT pulmonary nodule detection model based on R-CNN

In this paper, a lung nodule detection model based on r-cnn is proposed by using computer technology. Firstly, the lung CT image is segmented, then the regional convolutional neural network (r-cnn) is used to detect the lung nodules, and then the location and category of lung nodules are obtained after classification. The experimental results show that compared with pp-yolo and spp-net models, this model can better detect and classify pulmonary nodules by using supervised pre training under large samples, which is of great significance to assist in the detection and diagnosis of pulmonary nodules.