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 …
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 …
[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 …
most of them in developing countries. Many of those deaths could have been prevented if …
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 …
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 …
that can be fatal. Using advanced tools and technology, automatic analysis and …
[HTML][HTML] Deep learning-based automatic detection of tuberculosis disease in chest X-ray images
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 …
Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …
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 …
detecting tuberculosis (TB) on chest radiographs. Materials and Methods Four deidentified …
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one
of the top 10 leading causes of death. Accurate and early detection of TB is very important …
of the top 10 leading causes of death. Accurate and early detection of TB is very important …
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 …
causes of death worldwide. According to the World Health Organisation, around 1.8 billion …
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 …
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