A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges
Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI)
technique. However, current studies and applications need to address its scalability, non …
technique. However, current studies and applications need to address its scalability, non …
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
A Hamza, M Attique Khan, SH Wang… - Frontiers in Public …, 2022 - frontiersin.org
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …
result, it has disastrous consequences for people's lives, public health, and the global …
Novel crow swarm optimization algorithm and selection approach for optimal deep learning COVID‐19 diagnostic model
Due to the COVID‐19 pandemic, computerized COVID‐19 diagnosis studies are
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …
[Retracted] Automatic COVID‐19 Lung Infection Segmentation through Modified Unet Model
S Shamim, MJ Awan, A Mohd Zain… - Journal of healthcare …, 2022 - Wiley Online Library
The coronavirus (COVID‐19) pandemic has had a terrible impact on human lives globally,
with far‐reaching consequences for the health and well‐being of many people around the …
with far‐reaching consequences for the health and well‐being of many people around the …
RADIC: A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
O Attallah - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
Effective hybrid deep learning model for COVID‐19 patterns identification using CT images
DA Ibrahim, DA Zebari, HJ Mohammed… - Expert …, 2022 - Wiley Online Library
Abstract Coronavirus disease 2019 (COVID‐19) has attracted significant attention of
researchers from various disciplines since the end of 2019. Although the global epidemic …
researchers from various disciplines since the end of 2019. Although the global epidemic …
Performance analysis for COVID-19 diagnosis using custom and state-of-the-art deep learning models
The modern scientific world continuously endeavors to battle and devise solutions for newly
arising pandemics. One such pandemic which has turned the world's accustomed routine …
arising pandemics. One such pandemic which has turned the world's accustomed routine …
Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation
S Hao, C Huang, AA Heidari, Q Shao… - Multimedia Tools and …, 2024 - Springer
COVID-19 X-ray images are a vital approach for diagnosing whether a patient has an
infection. By using multi-threshold image segmentation (MIS) technology to segment the …
infection. By using multi-threshold image segmentation (MIS) technology to segment the …
[HTML][HTML] Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems
Problem A novel coronavirus (COVID-19) has created a worldwide pneumonia epidemic,
and it's important to make a computer-aided way for doctors to use computed tomography …
and it's important to make a computer-aided way for doctors to use computed tomography …