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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 …
A review of different ECG classification/detection techniques for improved medical applications
Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …
in the form of electrical signal. Its complete analysis requires three stages viz. pre …
CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images
This paper focuses on the application of deep learning (DL) based model in the analysis of
novel coronavirus disease (COVID-19) from X-ray images. The novelty of this work is in the …
novel coronavirus disease (COVID-19) from X-ray images. The novelty of this work is in the …
Classification of rice diseases using convolutional neural network models
Automatic diagnosis and control of rice plant disease are highly desired by agricultural
experts. Many machine learning approaches have been proposed in automating rice …
experts. Many machine learning approaches have been proposed in automating rice …
Comparison between ResNet 16 and inception V4 network for COVID-19 prediction
PJ Rachana, A Kodipalli, T Rao - Emerging Research in Computing …, 2022 - Springer
COVID-19 claimed 5 million lives worldwide so far, and the count is continuing. It also
affected socio-economic life of almost everybody in the world. Due to COVID-19, mortality …
affected socio-economic life of almost everybody in the world. Due to COVID-19, mortality …
An efficient FrWT and IPCA tools for an automated healthcare CAD system
Continuous monitoring of physiological parameters is critical in order to minimize casualties,
therefore automated healthcare computer-assisted diagnostic systems require efficient …
therefore automated healthcare computer-assisted diagnostic systems require efficient …
The Performance Evaluation of Transfer Learning VGG16 Algorithm on Various Chest X-ray Imaging Datasets for COVID-19 Classification
Early detection of the coronavirus (COVID-19) disease is essential in order to contain the
spread of the virus and provide effective treatment. Chest X-rays could be used to detect …
spread of the virus and provide effective treatment. Chest X-rays could be used to detect …
A MobileNet-V2 COVID-19: Multi-class classification of the COVID-19 by using CT/CXR images
N Mahendran, S Kavitha - … Conference on Advances in Electrical and …, 2021 - Springer
COVID-19 is one of the most dangerous virus that has been separated among the entire
world. At the beginning stage of COVID-19 virus, the RT-PCR is the only testing method to …
world. At the beginning stage of COVID-19 virus, the RT-PCR is the only testing method to …
[PDF][PDF] Multimodal approach for early prediction of COVID-19 disease using convolutional neural network
M Ankleshwar, P Chavan, P Chavan… - Indonesian Journal of …, 2024 - academia.edu
The latest human coronavirus is COVID-19. Chest radiography imaging is essential for
screening, early detection, and monitoring COVID-19 infections since the virus resides in the …
screening, early detection, and monitoring COVID-19 infections since the virus resides in the …
Generative Adversarial Network (GAN) Based MRI Data Synthesis with Validation of Convolutional Networks, KNN
DAS Sunanda, R Guhathakurta, D Roy - ECS Transactions, 2022 - iopscience.iop.org
Magnetic Resonance Imaging (MRI) is a technology mainly used for disease prediction and
treatment. Practically, due to poor quality of MRI images, sometimes it is advised to repeat …
treatment. Practically, due to poor quality of MRI images, sometimes it is advised to repeat …