TB-Net: a tailored, self-attention deep convolutional neural network design for detection of tuberculosis cases from chest X-ray images
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 …
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 …
the 13th leading cause of death globally. Due to advancements in technology and the …
An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease,
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …
Tuberculosis diagnostics and localization in chest X-rays via deep learning models
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 leading cause of worldwide death. Proven to be conveniently efficient and cost-effective …
Deep learning for automated classification of tuberculosis-related chest X-Ray: dataset distribution shift limits diagnostic performance generalizability
S Sathitratanacheewin, P Sunanta, K Pongpirul - Heliyon, 2020 - cell.com
Background Machine learning has been an emerging tool for various aspects of infectious
diseases including tuberculosis surveillance and detection. However, the World Health …
diseases including tuberculosis surveillance and detection. However, the World Health …
An improved densenet deep neural network model for tuberculosis detection using chest x-ray images
VTQ Huy, CM Lin - IEEE Access, 2023 - ieeexplore.ieee.org
Tuberculosis (TB) is a highly contagious and life-threatening infectious disease that affects
millions of people worldwide. Early diagnosis of TB is essential for prompt treatment and …
millions of people worldwide. Early diagnosis of TB is essential for prompt treatment and …
A novel approach for tuberculosis screening based on deep convolutional neural networks
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 …
countries. Although newly diagnosed TB patients can be recovered with high cure rate …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
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 …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
Covidnet-ct: A tailored deep convolutional neural network design for detection of covid-19 cases from chest ct images
The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous
impact on patients and healthcare systems around the world. In the fight against this novel …
impact on patients and healthcare systems around the world. In the fight against this novel …
Utilizing pretrained deep learning models for automated pulmonary tuberculosis detection using chest radiography
Tuberculosis (TB) is determined as a major health threat resulting in approximately 1.8
million people died in 2015 in most of the low and middle income countries. Many of those …
million people died in 2015 in most of the low and middle income countries. Many of those …