Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
The internet of medical things and artificial intelligence: trends, challenges, and opportunities
High quality and efficient medical service is one of the major factors defining living
standards. Developed countries strive to make their healthcare systems as efficient and cost …
standards. Developed countries strive to make their healthcare systems as efficient and cost …
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
NA Baghdadi, A Malki, SF Abdelaliem… - Computers in biology …, 2022 - Elsevier
Researchers have developed more intelligent, highly responsive, and efficient detection
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
methods owing to the COVID-19 demands for more widespread diagnosis. The work done …
Deep learning models-based CT-scan image classification for automated screening of COVID-19
COVID-19 is the most transmissible disease, caused by the SARS-CoV-2 virus that severely
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
[HTML][HTML] Detection of pneumonia using convolutional neural networks and deep learning
P Szepesi, L Szilágyi - Biocybernetics and biomedical engineering, 2022 - Elsevier
The objective and automated detection of pneumonia represents a serious challenge in
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
medical imaging, because the signs of the illness are not obvious in CT or X-ray scans …
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
COVID-19 had caused the whole world to come to a standstill. The current detection
methods are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to …
methods are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to …
[HTML][HTML] Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia
have spread over the world, killing millions of people. Medical specialists have experienced …
have spread over the world, killing millions of people. Medical specialists have experienced …
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Abstract The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
[HTML][HTML] Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN …
Around the world, several lung diseases such as pneumonia, cardiomegaly, and
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …
time polymerase chain reaction. However, this method has several drawbacks, including …