[1] 王彦, 吴奎, 王长征, 等. 支气管哮喘患者的高分辨率CT的常见表现[J]. 中华肺部疾病杂志(电子版), 2019, 12(6):772-775. WANG Y, WU K, WANG C Z, et al. Manifestations of high resolution CT in patients with bronchial asthma[J]. Chinese Journal of Lung Diseases (Electronic Edition), 2019, 12(6):772-775. [2] DUNICAN E M, WATCHORN D C, FAHY J V. Autopsy and imaging studies of mucus in asthma, lessons learned about disease mechanisms and the role of mucus in airflow obstruction[J]. Annals of the American Thoracic Society, 2018, 15(Sup 3):S184-S191. [3] MARQUES F, DUBOST F, DE CORPUT M K V, et al. Quantification of lung abnormalities in cystic fibrosis using deep networks[C]//Medical Imaging 2018:Image Processing. Houston:SPIE, 2018:365-371. [4] JUYAL P, SHARMA S. Mucus plug blockage detection in COVID-19 patient's chest X-ray using instance segmentation[C]//International Conference on Advanced Informatics for Computing Research. Berlin:Springer, 2020:152-160. [5] IBRAHIM N Y, TALAAT A S, HARB H M. Hybrid ontology-deep learning integrated CBMIR system for CT lung diseases[J]. International Journal of Engineering Trends and Technology, 2021, 69(9):193-202. [6] REN S Q, HE K M, GIRSHICK R, et al. Faster R-CNN:towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 39(6):1137-1149. [7] DAI J F, QI H Z, XIONG Y W, et al. Deformable con-volutional networks[C]//2017 IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE Press, 2017:764-773. [8] LIN T Y, DOLLÁR P, GIRSHICK R, et al. Feature pyra-mid networks for object detection[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE Press, 2017:2117-2125. [9] HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE Press, 2016:770-778. [10] GONG Y Q, YU X H, DING Y, et al. Effective fusion factor in FPN for tiny object detection[C]//2021 IEEE Winter Conference on Applications of Computer Vision. Piscataway, NJ:IEEE Press, 2021:1159-1167. [11] LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection[C]//2017 IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE Press, 2017:2999-3007. [12] LIU Z, LIN Y T, CAO Y, et al. Swin transformer:hierarchical vision transformer using shifted windows[C]//2021 IEEE/CVF International Conference on Computer Vision(ICCV). Piscataway, NJ:IEEE Press, 2021:9992-10002. [13] SUN K, XIAO B, LIU D, et al. Deep high-resolution representation learning for human pose estimation[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE Press, 2019:5686-5696. |