A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
[HTML][HTML] A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
[HTML][HTML] 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 …
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
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] MEF: multidimensional examination framework for prioritization of COVID-19 severe patients and promote precision medicine based on hybrid multi-criteria …
Effective prioritization plays critical roles in precision medicine. Healthcare decisions are
complex, involving trade-offs among numerous frequently contradictory priorities …
complex, involving trade-offs among numerous frequently contradictory priorities …
Evaluating three machine learning classification methods for effective COVID-19 diagnosis
SARS-CoV2, which produces COVID-19, has spread worldwide. Since the number of
patients is rising daily, it requires time to evaluate laboratory data, limiting treatment and …
patients is rising daily, it requires time to evaluate laboratory data, limiting treatment and …
[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 …
[HTML][HTML] Event-specific transmission forecasting of SARS-CoV-2 in a mixed-mode ventilated office room using an ANN
The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to
study the transmission probability in mixed-mode ventilated office environments. Artificial …
study the transmission probability in mixed-mode ventilated office environments. Artificial …
Improved versions of snake optimizer for feature selection in medical diagnosis: a real case COVID-19
Classification of medical data is largely dependent on the effective identification of key
features of the data that can be used to aid in the diagnosis of related diseases. This goal …
features of the data that can be used to aid in the diagnosis of related diseases. This goal …