Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review

KC Santosh, S Allu, S Rajaraman, S Antani - Journal of Medical Systems, 2022 - Springer
There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …

TB-Net: a tailored, self-attention deep convolutional neural network design for detection of tuberculosis cases from chest X-ray images

A Wong, JRH Lee, H Rahmat-Khah, A Sabri… - Frontiers in Artificial …, 2022 - frontiersin.org
Tuberculosis (TB) remains a global health problem, and is the leading cause of death from
an infectious disease. A crucial step in the treatment of tuberculosis is screening high risk …

Ensemble technique coupled with deep transfer learning framework for automatic detection of tuberculosis from chest x-ray radiographs

E Kotei, R Thirunavukarasu - Healthcare, 2022 - mdpi.com
Tuberculosis (TB) is an infectious disease affecting humans' lungs and is currently ranked
the 13th leading cause of death globally. Due to advancements in technology and the …

[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review

S Hansun, A Argha, ST Liaw, BG Celler… - Journal of medical Internet …, 2023 - jmir.org
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …

Deep learning methods for screening pulmonary tuberculosis using chest X-rays

C Dasanayaka, MB Dissanayake - Computer Methods in …, 2021 - Taylor & Francis
Tuberculosis (TB) is a contagious bacterial airborne disease, and is one of the top 10
causes of death worldwide. According to the World Health Organisation, around 1.8 billion …

A systematic review of deep learning techniques for tuberculosis detection from chest radiograph

M Oloko-Oba, S Viriri - Frontiers in medicine, 2022 - frontiersin.org
The high mortality rate in Tuberculosis (TB) burden regions has increased significantly in the
last decades. Despite the possibility of treatment for TB, high burden regions still suffer …

A novel approach for tuberculosis screening based on deep convolutional neural networks

S Hwang, HE Kim, J Jeong… - Medical imaging 2016 …, 2016 - spiedigitallibrary.org
Tuberculosis (TB) is one of the major global health threats especially in developing
countries. Although newly diagnosed TB patients can be recovered with high cure rate …

Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks

P Lakhani, B Sundaram - Radiology, 2017 - pubs.rsna.org
Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for
detecting tuberculosis (TB) on chest radiographs. Materials and Methods Four deidentified …

Tuberculosis diagnostics and localization in chest X-rays via deep learning models

R Guo, K Passi, CK Jain - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
For decades, tuberculosis (TB), a potentially serious infectious lung disease, continues to be
a leading cause of worldwide death. Proven to be conveniently efficient and cost-effective …

A comprehensive review on advancement in deep learning techniques for automatic detection of tuberculosis from chest X-ray images

E Kotei, R Thirunavukarasu - Archives of Computational Methods in …, 2024 - Springer
Tuberculosis is an infectious disease caused by a widely spread microbe called
Mycobacterium tuberculosis (MTB). Tuberculosis (TB) detection with chest x-ray images is …