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An Overview of Pulmonary Tuberculosis Detection and Classification Using Machine Learning and Deep Learning Algorithms

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Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Pulmonary tuberculosis (TB) has been considered a leading cause of concern around the world for decades and can be considered as a pandemic itself. The increasing number of cases is a huge concern. Several investigations and research have been carried out in past few years regarding early detection of mycobacterium tuberculosis and different Computer automated systems (CAS) have been proposed. Authors have applied different techniques starting from preprocessing data, dividing the dataset into different training, validation, and test sets with different ratios, processing different machine learning and deep learning algorithms on these datasets to obtain optimum and accurate results for detection and classification. This paper consists of a comprehensive study of the research work in detection of tuberculosis. This paper firstly discusses data collection and preprocessing of these data. The paper next provides an overview of machine learning and deep learning algorithm implementation. Finally, the paper presents a comparative analysis of existing techniques.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India

    Priyanka Saha & Sarmistha Neogy

Authors
  1. Priyanka Saha
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  2. Sarmistha Neogy
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Editors and Affiliations

  1. National Institute of Technology, Kurukshetra, Kurukshetra, India

    Mohit Dua

  2. National Institute of Technology, Kurukshetra, Kurukshetra, India

    Ankit Kumar Jain

  3. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

  4. National Institute of Technology, Uttarakhand, Srinagar, India

    Nitin Kumar

  5. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

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Saha, P., Neogy, S. (2022). An Overview of Pulmonary Tuberculosis Detection and Classification Using Machine Learning and Deep Learning Algorithms. In: Dua, M., Jain, A.K., Yadav, A., Kumar, N., Siarry, P. (eds) Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-5747-4_72

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