Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1817001(2022)

Prediction Method for Common Diseases Based on Chest X-Ray Images

Jiangfeng Wang1, Lijun Liu1,2、*, Qingsong Huang1, Li Liu1, and Xiaodong Fu1
Author Affiliations
  • 1School of Information Engineering and Automation, Kunming University of science and technology, Kunming 650500, Yunnan , China
  • 2School of Information, Yunnan University, Kunming 650091, Yunnan , China
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    References(22)

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    [8] Jiang X H, Li Z. Skin lesion segmentation based on U-shaped structure context encoding and decoding network[J]. Laser & Optoelectronics Progress, 58, 1210006(2021).

    [10] Ruan H Y, Chen Z L, Cheng Y S et al. Detection of pulmonary nodules based on C-3D deformable convolutional neural network model[J]. Laser & Optoelectronics Progress, 57, 041013(2020).

    [15] Zhang C M. X-ray diagnosis of common chest lesions based on deep learning method[D](2020).

    [17] Lenga M, Schulz H, Saalbach A. Continual learning for domain adaptation in chest X-ray classification[C], 413-423(2020).

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    Jiangfeng Wang, Lijun Liu, Qingsong Huang, Li Liu, Xiaodong Fu. Prediction Method for Common Diseases Based on Chest X-Ray Images[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1817001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jun. 2, 2021

    Accepted: Jul. 12, 2021

    Published Online: Aug. 22, 2022

    The Author Email: Liu Lijun (cloneiq@126.com)

    DOI:10.3788/LOP202259.1817001

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