A novel method for detection of tuberculosis in chest radiographs using artificial ecosystem-based optimisation of deep neural network features

AT Sahlol, M Abd Elaziz, A Tariq Jamal… - Symmetry, 2020 - mdpi.com
Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes
death for millions of people annually. Chest radiography and deep-learning-based image …

Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach

A Iqbal, M Usman, Z Ahmed - Biomedical Signal Processing and Control, 2023 - Elsevier
Tuberculosis still significantly impacts the world's population, with more than 10 million
people getting sick each year. Researchers have focused on developing computer-aided …

Deep pre-trained networks as a feature extractor with XGBoost to detect tuberculosis from chest X-ray

M Rahman, Y Cao, X Sun, B Li, Y Hao - Computers & Electrical Engineering, 2021 - Elsevier
Pulmonary Tuberculosis is a plague caused by Mycobacterium tuberculosis or Tubercle
bacillus, which kills 1.8 million people worldwide. Tuberculosis is among the top 10 deadly …

Deep learning algorithms with demographic information help to detect tuberculosis in chest radiographs in annual workers' health examination data

SJ Heo, Y Kim, S Yun, SS Lim, J Kim, CM Nam… - International journal of …, 2019 - mdpi.com
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual
workers' health examination data and compare the performances of convolutional neural …

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 …

Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization

T Rahman, A Khandakar, MA Kadir, KR Islam… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection

E Tasci, C Uluturk, A Ugur - Neural Computing and Applications, 2021 - Springer
Tuberculosis (TB) is known as a potentially dangerous and infectious disease that affects
mostly lungs worldwide. The detection and treatment of TB at an early stage are critical for …

An efficient deep learning-based framework for tuberculosis detection using chest X-ray images

A Iqbal, M Usman, Z Ahmed - Tuberculosis, 2022 - Elsevier
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 …

Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion

SM Fati, EM Senan, N ElHakim - Applied Sciences, 2022 - mdpi.com
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 …

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 …