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Acta Optica Sinica, Volume. 40, Issue 18, 1810003(2020)

Self-Supervised Transfer Learning of Pulmonary Nodule Classification Based on Partially Annotated CT Images

Hong Huang1、*, Chao Peng1, Ruoyu Wu1, Junli Tao2, and Jiuquan Zhang2
Author Affiliations
  • 1Key Laboratory of Optoelectronic Technology & Systems, Ministry of Education, Chongqing University, Chongqing 400044, China;
  • 2Department of Radiology, Chongqing University Cancer Hospital, Chongqing 400030, China
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    Article index updated:May. 23, 2024

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    Hong Huang, Chao Peng, Ruoyu Wu, Junli Tao, Jiuquan Zhang. Self-Supervised Transfer Learning of Pulmonary Nodule Classification Based on Partially Annotated CT Images[J]. Acta Optica Sinica, 2020, 40(18): 1810003

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    Paper Information

    Category: Image Processing

    Received: Apr. 17, 2020

    Accepted: Jun. 11, 2020

    Published Online: Aug. 27, 2020

    The Author Email: Huang Hong (hhuang@cqu.edu.cn)

    DOI:10.3788/AOS202040.1810003

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology