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Osteoporosis Detection Based on X-Ray Using Deep Convolutional Neural Network

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Micro-Electronics and Telecommunication Engineering (ICMETE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 894))

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Abstract

In this study, we describe a computer-based technique for identifying osteoporosis by analyzing medical X-ray images utilizing deep convolutional neural networks (DCNNs). During the preprocessing phase, the suggested system prepares the original picture by acquiring the area of interest, enhancing contrast, and reducing noise. Subsequently, the smudging procedure was used to improve the system's accuracy and decrease mistake by creating a nearly identical fragile region throughout the database photos. The next step is using the suggested DCNN model to diagnose the problem. To do this, the dataset was preprocessed, smudged, and then put into the model in two parts: 75% for training and 25% for testing. With Dataset 1 and Dataset 2, the diagnoses’ accuracy was 94.7% and 91.5, respectively. It is important to note that two datasets were used: Dataset 1 is the Osteoporosis Knee X-ray Dataset from Kaggle, which has two classes (osteopenia and osteoporosis), and Dataset 2 is from Mendeley, which contains three classes (osteopenia, normal, and osteoporosis).

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Authors and Affiliations

  1. Informatics Institute for Postgraduate Studies, Baghdad, Iraq

    Abulkareem Z. Mohammed & Loay E. George

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  1. Abulkareem Z. Mohammed
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  2. Loay E. George
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Correspondence to Abulkareem Z. Mohammed .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mohammed, A.Z., George, L.E. (2024). Osteoporosis Detection Based on X-Ray Using Deep Convolutional Neural Network. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_16

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  • DOI: https://doi.org/10.1007/978-981-99-9562-2_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9561-5

  • Online ISBN: 978-981-99-9562-2

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