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Tuberculosis Disease Diagnosis Using Controlled Super Resolution

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Big Data and Artificial Intelligence (BDA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14418))

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Abstract

Tuberculosis (TB) is a chronic respiratory disease caused by a bacterial infection and has one of the highest mortality worldwide. Timely and precise TB detection is crucial as it can be dangerous if left untreated. To achieve accurate results, it is essential to have a high-resolution input. This paper introduces a Low and high level feature steering (LHFS) module, which reconstructs high-resolution images by a reference image that contains same information to the low-resolution input. Additionally, the Selective feature integration (SFI) module seamlessly integrates Ref image features into extracted features of LR image. The proposed model for factors 2, 4, and 6, attains super resolution metrics such as PSNR values of 30.225, 31.176, 33.836, and SSIM values of 0.8642, 0.8801, 0.9052 with classification metric accuracy values of 99.66, 98.96 and 98.32 respectively.

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Acknowledgement

Authors are thankful to the Director of the National Institute of Technology - Tiruchirappalli for granting us permission to use the GPU resources from the Center of Excellence – Artificial Intelligence (CoE-AI) lab.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, Tiruchirappalli, India

    P. V. Yeswanth, Kunal Vijay Thool & S. Deivalakshmi

Authors
  1. P. V. Yeswanth
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  2. Kunal Vijay Thool
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  3. S. Deivalakshmi
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Corresponding author

Correspondence to P. V. Yeswanth .

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Editors and Affiliations

  1. Indraprastha Institute of Information Technology, Delhi, India

    Vikram Goyal

  2. University of Delhi, Delhi, India

    Naveen Kumar

  3. Nanyang Technological University, Singapore, Singapore

    Sourav S. Bhowmick

  4. Indian Institute of Technology, Kharagpur, India

    Pawan Goyal

  5. Birla Institute of Technology and Science, Pilani, India

    Navneet Goyal

  6. Indraprastha Institute of Information Technology, Delhi, India

    Dhruv Kumar

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Yeswanth, P.V., Thool, K.V., Deivalakshmi, S. (2023). Tuberculosis Disease Diagnosis Using Controlled Super Resolution. In: Goyal, V., Kumar, N., Bhowmick, S.S., Goyal, P., Goyal, N., Kumar, D. (eds) Big Data and Artificial Intelligence. BDA 2023. Lecture Notes in Computer Science, vol 14418. Springer, Cham. https://doi.org/10.1007/978-3-031-49601-1_1

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  • DOI: https://doi.org/10.1007/978-3-031-49601-1_1

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  • Online ISBN: 978-3-031-49601-1

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