Deep-learning: A potential method for tuberculosis detection using chest radiography

R Hooda, S Sofat, S Kaur, A Mittal… - … conference on signal …, 2017 - ieeexplore.ieee.org
Tuberculosis (TB) is a major health threat in the developing countries. Many patients die
every year due to lack of treatment and error in diagnosis. Developing a computer-aided …

Pulmonary tuberculosis detection using deep learning convolutional neural networks

M Norval, Z Wang, Y Sun - … of the 3rd International Conference on Video …, 2019 - dl.acm.org
Tuberculosis (TB) is classified as one of the top ten reasons for death from an infectious
agent. This paper is to investigate the accuracy of two methods to detect Pulmonary …

[HTML][HTML] Pre-trained convolutional neural networks as feature extractors for tuberculosis detection

UK Lopes, JF Valiati - Computers in biology and medicine, 2017 - Elsevier
It is estimated that in 2015, approximately 1.8 million people infected by tuberculosis died,
most of them in developing countries. Many of those deaths could have been prevented if …

Automated TB classification using ensemble of deep architectures

R Hooda, A Mittal, S Sofat - Multimedia Tools and Applications, 2019 - Springer
Tuberculosis (TB) is an infectious disease that mainly affects the lung region. Its initial
screening is mostly performed using chest radiograph, which is also recommended by the …

Application of a convolutional neural network using transfer learning for tuberculosis detection

M Ahsan, R Gomes, A Denton - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Application of neural networks for image classification has significantly increased prediction
accuracy rates. One area where neural networks could perform well includes classification …

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 …

[HTML][HTML] Deep learning-based automatic detection of tuberculosis disease in chest X-ray images

E Showkatian, M Salehi, H Ghaffari… - Polish journal of …, 2022 - ncbi.nlm.nih.gov
Deep learning-based automatic detection of tuberculosis disease in chest X-ray images - PMC
Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …

Utilizing pretrained deep learning models for automated pulmonary tuberculosis detection using chest radiography

TKK Ho, J Gwak, O Prakash, JI Song… - Intelligent Information and …, 2019 - Springer
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 …

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 …

Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence

SI Nafisah, G Muhammad - Neural Computing and Applications, 2024 - Springer
In most regions of the world, tuberculosis (TB) is classified as a malignant infectious disease
that can be fatal. Using advanced tools and technology, automatic analysis and …