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Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26–27, 2020, Proceedings

Research Article

Abnormality Bone Detection in X-Ray Images Using Convolutional Neural Network

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  • @INPROCEEDINGS{10.1007/978-3-030-67101-3_3,
        author={Hiep Xuan Huynh and Hang Bich Thi Nguyen and Cang Anh Phan and Hai Thanh Nguyen},
        title={Abnormality Bone Detection in X-Ray Images Using Convolutional Neural Network},
        proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings},
        proceedings_a={ICCASA \& ICTCC},
        year={2021},
        month={1},
        keywords={Abnormality detection Musculoskeletal radiographs X-ray images Convolutional neural network},
        doi={10.1007/978-3-030-67101-3_3}
    }
    
  • Hiep Xuan Huynh
    Hang Bich Thi Nguyen
    Cang Anh Phan
    Hai Thanh Nguyen
    Year: 2021
    Abnormality Bone Detection in X-Ray Images Using Convolutional Neural Network
    ICCASA & ICTCC
    Springer
    DOI: 10.1007/978-3-030-67101-3_3
Hiep Xuan Huynh1,*, Hang Bich Thi Nguyen2, Cang Anh Phan3, Hai Thanh Nguyen1
  • 1: College of Information and Communication Technology
  • 2: Department of Multimedia
  • 3: Faculty of Information Technology
*Contact email: hxhiep@ctu.edu.vn

Abstract

Medical imaging plays a role as a crucial source of data for disease detection and diagnosis. Recent advancements in machine learning and deep learning have become an efficient tool for medical image analysis. Medical image research laboratories are rapidly creating machine learning systems to achieve the professional performance of humans. However, both machine learning and deep learning methods are complex and require a lot of expertise, resources, knowledge, and time to train. Those create a significant barrier for researchers. In this study, we propose a convolutional neural network architecture to detect abnormalities in bone images. The proposed method provides insight into medical images and explains in detail how the model supports the diagnosis.

Keywords
Abnormality detection Musculoskeletal radiographs X-ray images Convolutional neural network
Published
2021-01-13
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67101-3_3
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