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 …
A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
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 …
AI‐Assisted Tuberculosis Detection and Classification from Chest X‐Rays Using a Deep Learning Normalization‐Free Network Model
Tuberculosis (TB) is an airborne disease caused by Mycobacterium tuberculosis. It is
imperative to detect cases of TB as early as possible because if left untreated, there is a 70 …
imperative to detect cases of TB as early as possible because if left untreated, there is a 70 …
[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review
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 …
COVID-19 and chest radiography has an important role in the detection, and subsequent …
Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
[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 …
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 …
last decades. Despite the possibility of treatment for TB, high burden regions still suffer …
Ensemble of EfficientNets for the Diagnosis of Tuberculosis
M Oloko-Oba, S Viriri - Computational Intelligence and …, 2021 - Wiley Online Library
Tuberculosis (TB) remains a life‐threatening disease and is one of the leading causes of
mortality in developing regions due to poverty and inadequate medical resources …
mortality in developing regions due to poverty and inadequate medical resources …
Stochastic learning-based artificial neural network model for an automatic tuberculosis detection system using chest x-ray images
S Urooj, S Suchitra, L Krishnasamy, N Sharma… - IEEE …, 2022 - ieeexplore.ieee.org
Tuberculosis (TB) is still one of the most serious health issues today with a high fatality rate.
While attempts are being made to make primary diagnosis more reliable and accessible in …
While attempts are being made to make primary diagnosis more reliable and accessible in …