Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0800002(2021)

Research Progress of Early Disease Detection Technology Based on Infrared Thermography

Mingzhu Zhao1, Yan Zhang1,2、*, and Yingyan Zhu1
Author Affiliations
  • 1College of Big Data and Information Engineering, Guizhou University, Guiyang,Guizhou 550025, China
  • 2Research Center of Nondestructive Testing for Agricultural Products, Guiyang University, Guiyang, Guizhou 550005,China
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    References(29)

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    [23] LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 521, 436-444(2015).

    [24] Yin Q L, Wang J W. Summarizes the application of deep learning in the field of image processing[J]. Journal of Higher Education, 72-74(2018).

    [27] Mohamed A A, Berg W A, Peng H et al. A deep learning method for classifying mammographic breast density categories[J]. Medical Physics, 45, 314-321(2018).

    [29] Hou L. Detection of breast cancer with infrared thermal images based on AdaBoost and deep learning[D]. Wuhan: Huazhong University of Science and Technology(2017).

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    Mingzhu Zhao, Yan Zhang, Yingyan Zhu. Research Progress of Early Disease Detection Technology Based on Infrared Thermography[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0800002

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    Paper Information

    Category: Reviews

    Received: Aug. 17, 2020

    Accepted: Sep. 15, 2020

    Published Online: Apr. 12, 2021

    The Author Email: Yan Zhang (Eileen_zy001@sohu.com)

    DOI:10.3788/LOP202158.0800002

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