Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images

S Vats, V Sharma, K Singh, A Katti, MM Ariffin… - Expert Systems with …, 2024 - Elsevier
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …

Wastewater network infrastructure in public health: applications and learnings from the COVID-19 pandemic

N Sharara, N Endo, C Duvallet, N Ghaeli… - PLOS Global Public …, 2021 - journals.plos.org
Accurate estimates of COVID-19 burden of infections in communities can inform public
health strategy for the current pandemic. Wastewater based epidemiology (WBE) leverages …

User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review

N Al-Ansari, D Al-Thani… - Human Behavior and …, 2024 - Wiley Online Library
Researchers have developed a variety of approaches to evaluate explainable artificial
intelligence (XAI) systems using human–computer interaction (HCI) user‐centered …

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis

MK Mahbub, M Biswas, L Gaur, F Alenezi… - Information Sciences, 2022 - Elsevier
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …

Deep learning in public health: Comparative predictive models for COVID-19 case forecasting

MU Tariq, SB Ismail - Plos one, 2024 - journals.plos.org
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of develo** accurate and reliable …

Covid-19 imaging tools: How big data is big?

KC Santosh, S Ghosh - Journal of Medical Systems, 2021 - Springer
In this paper, considering year 2020 and Covid-19, we analyze medical imaging tools and
their performance scores in accordance with the dataset size and their complexity. For this …

Analysis and prediction of COVID-19 using SIR, SEIQR, and machine learning models: Australia, Italy, and UK cases

I Rahimi, AH Gandomi, PG Asteris, F Chen - Information, 2021 - mdpi.com
The novel coronavirus disease, also known as COVID-19, is a disease outbreak that was
first identified in Wuhan, a Central Chinese city. In this report, a short analysis focusing on …

Federated learning approach for early detection of chest lesion caused by COVID-19 infection using particle swarm optimization

DR Kandati, TR Gadekallu - Electronics, 2023 - mdpi.com
The chest lesion caused by COVID-19 infection pandemic is threatening the lives and well-
being of people all over the world. Artificial intelligence (AI)-based strategies are efficient …

Automatic lung health screening using respiratory sounds

H Mukherjee, P Sreerama, A Dhar… - Journal of Medical …, 2021 - Springer
Significant changes have been made on audio-based technologies over years in several
different fields. Healthcare is no exception. One of such avenues is health screening based …

[HTML][HTML] Influenza-type epidemic risks by spatio-temporal Gaidai-Yakimov method

O Gaidai, V Yakimov, EJ van Loon - Dialogues in Health, 2023 - Elsevier
Background Global public health was recently hampered by reported widespread spread of
new coronavirus illness, although morbidity and fatality rates were low. Future coronavirus …