Skeletal structure and human organs overlap in the chest X-ray films, which has a negative impact on the intelligent detection system of doctors and pulmonary nodules, because X-ray image only has two-dimensional information. Restraining rib structure in the image can improve the above situation to a certain extent. We regard ribs as noise information in images, and use image denoising method to suppress ribs. In this study, we use deep convolution network as the basic model, and try to improve the performance of the model by analyzing and trying a variety of strategies. Ultimately, we use U-net network structure to enhance the performance of network details through jump connections and residual learning strategies. Experiments prove that the proposed method can effectively suppress the adverse effects of rib structure in X-ray images, and improve the performance of pulmonary nodule detection tasks.