Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations
Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …
Deep learning for COVID-19 screening using chest x-rays in 2020: A systematic review
Artificial Intelligence (AI) has promoted countless contributions in the field of healthcare and
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
Unsupervised deep learning based variational autoencoder model for COVID-19 diagnosis and classification
At present times, COVID-19 has become a global illness and infected people has increased
exponentially and it is difficult to control due to the non-availability of large quantity of testing …
exponentially and it is difficult to control due to the non-availability of large quantity of testing …
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
In recent times, COVID-19 infection gets increased exponentially with the existence of a
restricted number of rapid testing kits. Several studies have reported the COVID-19 …
restricted number of rapid testing kits. Several studies have reported the COVID-19 …
Comprehensive survey of machine learning systems for COVID-19 detection
The last two years are considered the most crucial and critical period of the COVID-19
pandemic affecting most life aspects worldwide. This virus spreads quickly within a short …
pandemic affecting most life aspects worldwide. This virus spreads quickly within a short …
An automated glowworm swarm optimization with an inception-based deep convolutional neural network for COVID-19 diagnosis and classification
Recently, the COVID-19 epidemic has had a major impact on day-to-day life of people all
over the globe, and it demands various kinds of screening tests to detect the coronavirus …
over the globe, and it demands various kinds of screening tests to detect the coronavirus …
Management of covid-19 detection using artificial intelligence in 2020 pandemic
M Ghaderzadeh, M Aria - … of the 5th international conference on medical …, 2021 - dl.acm.org
Successful early detection of Covid-19 disease plays an important role in improving the
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …
Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model
COVID-19 was first identified in December 2019 at Wuhan, China. At present, the outbreak
of COVID-19 pandemic has resulted in severe consequences on both economic and social …
of COVID-19 pandemic has resulted in severe consequences on both economic and social …
[PDF][PDF] Artificial Intelligence Based Sentiment Analysis for Health Crisis Management in Smart Cities.
Smart city promotes the unification of conventional urban infrastructure and information
technology (IT) to improve the quality of living and sustainable urban services in the city. To …
technology (IT) to improve the quality of living and sustainable urban services in the city. To …
Recommender system for the efficient treatment of COVID-19 using a convolutional neural network model and image similarity
Background: Hospitals face a significant problem meeting patients' medical needs during
epidemics, especially when the number of patients increases rapidly, as seen during the …
epidemics, especially when the number of patients increases rapidly, as seen during the …