Research on Lung Nodule Recognition Based on Stacking Algorithm

Abstract

In recent years, the incidence of cancer has been increasing year by year, and lung cancer has ranked the first place. In order to detect lung nodules quickly and accurately, since the lung CT images in the data set used in this experiment are original medical images, image preprocessing is first required, including noise reduction, segmentation and region of interest extraction, Therefore, this paper proposes a lung nodule recognition method based on Stacking algorithm to detect lung nodules quickly and accurately. Secondly, the three-dimensional gray co-occurrence matrix texture features of the region of interest are extracted. Finally, the Stacking evaluation model is used to identify and classify lung nodules.The experimental results show: Under ten-fold cross-validation, the training accuracy rate and the test accuracy rate can reach 90.9%,82.3%, respectively.This method is feasible for pulmonary nodule recognition and provides data reference value for doctors' auxiliary diagnosis.