[HTML][HTML] Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans
Purpose COVID-19 has infected millions of people worldwide. One of the most important
hurdles in controlling the spread of this disease is the inefficiency and lack of medical tests …
hurdles in controlling the spread of this disease is the inefficiency and lack of medical tests …
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 …
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 …
[HTML][HTML] A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images
M Loey, G Manogaran, NEM Khalifa - Neural Computing and Applications, 2020 - Springer
Abstract The Coronavirus disease 2019 (COVID-19) is the fastest transmittable virus caused
by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of …
by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of …
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
ML Huang, YC Liao - Computers in Biology and Medicine, 2022 - Elsevier
Background and objectives The traditional method of detecting COVID-19 disease mainly
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …
[HTML][HTML] Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
S Ahuja, BK Panigrahi, N Dey, V Rajinikanth… - Applied …, 2021 - Springer
Lung abnormality is one of the common diseases in humans of all age group and this
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …
[HTML][HTML] Diagnosis of COVID-19 using CT scan images and deep learning techniques
V Shah, R Keniya, A Shridharani, M Punjabi, J Shah… - Emergency …, 2021 - Springer
Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling
this pandemic. COVID-19 has been spreading rapidly all over the world. There is no vaccine …
this pandemic. COVID-19 has been spreading rapidly all over the world. There is no vaccine …
The ensemble deep learning model for novel COVID-19 on CT images
T Zhou, H Lu, Z Yang, S Qiu, B Huo, Y Dong - Applied soft computing, 2021 - Elsevier
The rapid detection of the novel coronavirus disease, COVID-19, has a positive effect on
preventing propagation and enhancing therapeutic outcomes. This article focuses on the …
preventing propagation and enhancing therapeutic outcomes. This article focuses on the …
[HTML][HTML] COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network
AL Aswathy, A Hareendran, VC SS - Journal of infection and public health, 2021 - Elsevier
Background COVID-19 diagnosis in symptomatic patients is an important factor for arranging
the necessary lifesaving facilities like ICU care and ventilator support. For this purpose, we …
the necessary lifesaving facilities like ICU care and ventilator support. For this purpose, we …
[HTML][HTML] A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks
TD Pham - Scientific reports, 2020 - nature.com
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19.
Although computed tomography (CT) scans show a variety of signs caused by the viral …
Although computed tomography (CT) scans show a variety of signs caused by the viral …
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