Chest X-ray analysis empowered with deep learning: A systematic review
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …
particularly plays an important role in the diagnosis of medical conditions such as …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
Pneumonia detection proposing a hybrid deep convolutional neural network based on two parallel visual geometry group architectures and machine learning …
Pneumonia is an acute respiratory infection that has led to significant deaths of people
worldwide. This lung disease is more common in people older than 65 and children under …
worldwide. This lung disease is more common in people older than 65 and children under …
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
O Attallah - Digital Health, 2022 - journals.sagepub.com
The accurate and rapid detection of the novel coronavirus infection, coronavirus is very
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
Grape leaf spot identification under limited samples by fine grained-GAN
In practice, early detection of disease is of high importance to practical value, corresponding
measures can be taken at the early stage of plant disease. However, in the early stage of …
measures can be taken at the early stage of plant disease. However, in the early stage of …
Federated learning-based secure electronic health record sharing scheme in medical informatics
Medical Cyber-Physical Systems support the mobility of electronic health records data for
clinical research to accelerate new scientific discoveries. Artificial Intelligence improves …
clinical research to accelerate new scientific discoveries. Artificial Intelligence improves …
McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices
S Ahuja, BK Panigrahi, N Dey, A Taneja… - Applied Soft Computing, 2022 - Elsevier
Worldwide COVID-19 is a highly infectious and rapidly spreading disease in almost all age
groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the …
groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the …
Research on multi-modal autonomous diagnosis algorithm of COVID-19 based on whale optimized support vector machine and improved DS evidence fusion
G Wang, S Guo, L Han, X Song, Y Zhao - Computers in biology and …, 2022 - Elsevier
Aiming at the problem that the single CT image signal feature recognition method in the self-
diagnosis of diseases cannot accurately and reliably classify COVID-19, and it is easily …
diagnosis of diseases cannot accurately and reliably classify COVID-19, and it is easily …
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 …
[HTML][HTML] BEMD-3DCNN-based method for COVID-19 detection
The coronavirus outbreak continues to spread around the world and no one knows when it
will stop. Therefore, from the first day of the identification of the virus in Wuhan, China …
will stop. Therefore, from the first day of the identification of the virus in Wuhan, China …