Open Access
Issue
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
Article Number 01035
Number of page(s) 7
Section Computer Technology and System Design
DOI https://doi.org/10.1051/itmconf/20224501035
Published online 19 May 2022
  1. Yu He, Zhao Wenxing. Application of computer aided diagnosis in pathology [J]. Journal of diagnostic pathology, 2018, 25(03):223-226. [Google Scholar]
  2. Zheng Guangyuan, Liu Xiabi, Han Guanghui. Review of medical image computeraided detection and diagnosis system [J]. Journal of software, 2018, 29(05):1471-1514. [Google Scholar]
  3. Shi Jun, Wang Linlin, Wang Shanshan, Chen Yanxia, Wang Gan, Wei Dongming, Liang Shujun, PENG Jialin, Yi Jiajin, Liu Shengfeng, Ni Dong, Wang Mingliang, Zhang Daoqiang, Shen Dinggang. Journal of image and graphics, 2020, 25(10):19531981.] [Google Scholar]
  4. A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, “Attention is all you need, ” arXiv preprint arXiv:1706.03762, 2017. [Google Scholar]
  5. Fei Ling AI, Yuan Ma, Sijia Tian, Xiaonan Wang, Feng Zhang, Xiuhua Guo. Research progress of deep learning in medical image analysis [J]. Beijing biomedical engineering, 2018, 37(04):433-438. [Google Scholar]
  6. Deng Shasha, Xue Yunjing, Liu Qi, Wang Yousen, Xu Xue, Zhao Xihai, Liu Baiyun. Effects of different CT imaging parameters on the diagnosis of pulmonary nodules with intelligent auxiliary software based on deep learning [J]. Chinese Journal of Medical Imaging, 201, 29(10):1003-1006+1011. [Google Scholar]
  7. Zheng Yuanpan, Li Guangyang, Li Ye. Application of deep learning in image recognition [J]. Computer engineering and applications, 2019, 55(12):20-36. [Google Scholar]
  8. Woo S, Park J, Lee J Y, et al. CBAM: Convolutional Block Attention Module[J]. Springer, Cham, 2018. [Google Scholar]

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