Journal of Optoelectronics · Laser, Volume. 33, Issue 6, 667(2022)

Classification of chest radiographic image diseases based on graph convolutional neural network

ZHAO Jialei1, HUANG Qingsong2、*, LIU Lijun3, and HUANG Mian4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(16)

    [1] [1] BAEMANI M J,MONADJEMI A,MOALLEM P.Detection of respiratory abnormalities using artificial neural networks[J].Journal of Computer Science,2008,4(8):663.

    [2] [2] RAOOF S,FEIGIN D,SUNG A,et al.Interpretation of plain chest roentgenogram[J].Chest,2012,141(2):545-558.

    [3] [3] TUDOR G R,FINLAY D,TAUB N.An assessment of inter-observer agreement and accuracy when reporting plain radiographs[J].Clinical Radiology,1997,52(3):235-238.

    [4] [4] QUEKEL L G B A,KESSELS A G H,GOEI R,et al.Miss rate of lung cancer on the chest radiograph in clinical practice[J].Chest,1999,115(3):720-724.

    [5] [5] CICERO M,BILBILY A,COLAK E,et al.Training and validating a deep convolutional neural network for computer-aided detection and classification of abnormalities on frontal chest radiographs[J].Investigative Radiology,2017,52(5):281-287.

    [6] [6] LEE M Z,CAI W,SONG Y,et al.Fully automated scoring of chest radiographs in cystic fibrosis[C]//2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 3-7,2013,Osaka,Japan.New York:IEEE,2013:3965-3968.

    [7] [7] WANG X, PENG Y, LU L, et al. Chestx-ray8:hospital- scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),July 21-26,2017,Honolulu,HI,USA.New York:IEEE,2017:2097-2106.

    [8] [8] GUENDEL S,GRBIC S,GEORGESCU B,et al.Learning to recognize abnormalities in chest x-rays with location-aware dense networks[EB/OL]. (2018-03-12)[2021-09-14]. https://arxiv.org/abs/1803.04565.

    [9] [9] KUMAR P,GREWAL M,SRIVASTAVA M M.Boosted cas-caded convnets for multilabel classification of thoracic diseases in chest radiographs[EB/OL]. (2017-11-23)[2021-09-14]. https://arxiv.org/abs/1711.08760.

    [10] [10] LIU J,ZHAO G,FEI Y,et al.Align,attend and locate:chest x-ray diagnosis via contrast induced attention network with limited supervision[C]//2019 IEEE/CVF International Conference on Computer Vision (ICCV),October, 27-November 02,2019,Seoul,Korea (South).New York:IEEE,2019:10632-10641.

    [11] [11] RAJPURKAR P,IRVIN J,ZHU K,et al.Chexnet:radiologist-level pneumonia detection on chest x-rays with deep learning[EB/OL]. (2017-11-14)[2021-09-14]. https://arxiv.org/abs/1711.05225.

    [12] [12] DENG J,DONG W,SOCHER R,et al.Imagenet:a large-scale hierarchical image database[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition,June 20-25,2009,Miami,FL,USA.New York:IEEE,2009:248-255.

    [13] [13] YAO L,POBLENZ E,DAGUNTS D,et al.Learning to diagnose from scratch by exploiting dependencies among labels[EB/OL]. (2017-10-28)[2021-09-14]. https://arxiv.org/abs/1710.10501v2.

    [14] [14] MA Y,ZHOU Q,CHEN X,et al.Multi-attention network for thoracic disease classification and localization[C]//ICASSP 2019-2019 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP),May 12-17,2019,Brighton,UK,New York:IEEE,2019:1378-1382.

    [15] [15] PENNINGTON J,SOCHER R,MANNING C D.Glove:global vectors for word representation[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP),October 25-29,2014,Doha,Qatar,Stroudsburg PA.USA:ALC,2014.

    [16] [16] HUANG G,LIU Z,VAN D M L,et al.Densely connected convolutional networks[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),July 21-26,2017,Honolulu, HI,USA.New York:IEEE,2017:4700-4708.

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    ZHAO Jialei, HUANG Qingsong, LIU Lijun, HUANG Mian. Classification of chest radiographic image diseases based on graph convolutional neural network[J]. Journal of Optoelectronics · Laser, 2022, 33(6): 667

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    Paper Information

    Received: Sep. 14, 2021

    Accepted: --

    Published Online: Oct. 9, 2024

    The Author Email: HUANG Qingsong (ynkmhqs@sina.com)

    DOI:10.16136/j.joel.2022.06.0648

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