casa 20(21): e3

Research Article

Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis

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  • @ARTICLE{10.4108/eai.13-7-2018.165349,
        author={Hai Thanh Nguyen and Hoang Thanh Huynh and Toan Bao Tran and Hiep Xuan Huynh},
        title={Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={7},
        number={21},
        publisher={EAI},
        journal_a={CASA},
        year={2020},
        month={6},
        keywords={Explanation, Chest images, X-ray images, Pneumonia, Convolutional Neural Network, disease diagnosis},
        doi={10.4108/eai.13-7-2018.165349}
    }
    
  • Hai Thanh Nguyen
    Hoang Thanh Huynh
    Toan Bao Tran
    Hiep Xuan Huynh
    Year: 2020
    Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis
    CASA
    EAI
    DOI: 10.4108/eai.13-7-2018.165349
Hai Thanh Nguyen1, Hoang Thanh Huynh1, Toan Bao Tran2,3, Hiep Xuan Huynh1,*
  • 1: Can Tho University, Can Tho, Vietnam
  • 2: Center of Software Engineering, Duy Tan University, 550000 Vietnam
  • 3: Institute of Research and Development, Duy Tan University, 550000 Vietnam
*Contact email: hxhiep@ctu.edu.vn

Abstract

Medical images are valuable sources for disease diagnosis. Besides, advancements in deep learning in recent years have been supporting disease diagnosis methods based on images to obtain numerous achievements. However, deep learning algorithms still work as a black-box so it is difficult to interpret output from these algorithms. In this study, we propose a convolutional network architecture to classify Chest X-ray images as well as apply explanation approaches for trained models to support disease diagnosis. The proposed method provides insights in medical images to support Pneumonia diagnosis.