Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures.

Journal: JMIRx med
Published Date:

Abstract

BACKGROUND: Tuberculosis (TB) remains a significant global health challenge, as current diagnostic methods are often resource-intensive, time-consuming, and inaccessible in many high-burden communities, necessitating more efficient and accurate diagnostic methods to improve early detection and treatment outcomes.

Authors

  • Alex Mirugwe
    School of Public Health, Makerere University, Kawalya Kaggwa Close, Plot 20A, Kampala, Uganda, 256 701120534.
  • Lillian Tamale
    Faculty of Science and Technology, Victoria University, Kampala, Uganda.
  • Juwa Nyirenda
    Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.

Keywords

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