[HTML][HTML] Review of COVID-19 testing and diagnostic methods
O Filchakova, D Dossym, A Ilyas, T Kuanysheva… - Talanta, 2022 - Elsevier
More than six billion tests for COVID-19 has been already performed in the world. The
testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and …
testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
[HTML][HTML] A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Nowadays, automatic disease detection has become a crucial issue in medical science due
to rapid population growth. An automatic disease detection framework assists doctors in the …
to rapid population growth. An automatic disease detection framework assists doctors in the …
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
COVID-19 infection was reported in December 2019 at Wuhan, China. This virus critically
affects several countries such as the USA, Brazil, India and Italy. Numerous research units …
affects several countries such as the USA, Brazil, India and Italy. Numerous research units …
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Abstract Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019
and has spread rapidly all over the world since the beginning of 2020, has infected millions …
and has spread rapidly all over the world since the beginning of 2020, has infected millions …
A deep learning approach to detect Covid-19 coronavirus with X-Ray images
Rapid and accurate detection of COVID-19 coronavirus is necessity of time to prevent and
control of this pandemic by timely quarantine and medical treatment in absence of any …
control of this pandemic by timely quarantine and medical treatment in absence of any …
FINE_DENSEIGANET: Automatic medical image classification in chest CT scan using Hybrid Deep Learning Framework
HP Sahu, R Kashyap - International Journal of Image and Graphics, 2025 - World Scientific
Medical image classification is one of the most significant tasks in computer-aided
diagnosis. In the era of modern healthcare, the progress of digitalized medical images has …
diagnosis. In the era of modern healthcare, the progress of digitalized medical images has …
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
At present times, the drastic advancements in the 5G cellular and internet of things (IoT)
technologies find useful in different applications of the healthcare sector. At the same time …
technologies find useful in different applications of the healthcare sector. At the same time …
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
Recently the most infectious disease is the novel Coronavirus disease (COVID 19) creates a
devastating effect on public health in more than 200 countries in the world. Since the …
devastating effect on public health in more than 200 countries in the world. Since the …
A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …
of its international dissemination. COVID-19 is the world's most serious health, economic …