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 …
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19
Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is
crucial for guiding the management of cardiothoracic conditions. The detection of specific …
crucial for guiding the management of cardiothoracic conditions. The detection of specific …
Efficient deep network architectures for fast chest X-ray tuberculosis screening and visualization
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with
either hand-crafted algorithms or machine learning approaches such as support vector …
either hand-crafted algorithms or machine learning approaches such as support vector …
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 …
Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: A deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …
[Retracted] A Novel and Robust Approach to Detect Tuberculosis Using Transfer Learning
Deep learning has emerged as a promising technique for a variety of elements of infectious
disease monitoring and detection, including tuberculosis. We built a deep convolutional …
disease monitoring and detection, including tuberculosis. We built a deep convolutional …
Automated TB classification using ensemble of deep architectures
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 …
screening is mostly performed using chest radiograph, which is also recommended by the …
A deep learning system that generates quantitative CT reports for diagnosing pulmonary tuberculosis
X Li, Y Zhou, P Du, G Lang, M Xu, W Wu - Applied Intelligence, 2021 - Springer
The purpose of this study was to establish and validate a new deep learning system that
generates quantitative computed tomography (CT) reports for the diagnosis of pulmonary …
generates quantitative computed tomography (CT) reports for the diagnosis of pulmonary …
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa
Computer-aided digital chest radiograph interpretation (CAD) can facilitate high-throughput
screening for tuberculosis (TB), but its use in population-based active case-finding programs …
screening for tuberculosis (TB), but its use in population-based active case-finding programs …
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
M Harris, A Qi, L Jeagal, N Torabi, D Menzies… - PloS one, 2019 - journals.plos.org
We undertook a systematic review of the diagnostic accuracy of artificial intelligence-based
software for identification of radiologic abnormalities (computer-aided detection, or CAD) …
software for identification of radiologic abnormalities (computer-aided detection, or CAD) …