[Retracted] Automated System for Identifying COVID‐19 Infections in Computed Tomography Images Using Deep Learning Models
KH Abdulkareem, SA Mostafa… - Journal of …, 2022 - Wiley Online Library
Coronavirus disease 2019 (COVID‐19) is a novel disease that affects healthcare on a global
scale and cannot be ignored because of its high fatality rate. Computed tomography (CT) …
scale and cannot be ignored because of its high fatality rate. Computed tomography (CT) …
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 …
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
AA Ardakani, AR Kanafi, UR Acharya… - Computers in biology …, 2020 - Elsevier
Fast diagnostic methods can control and prevent the spread of pandemic diseases like
coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in …
coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in …
[PDF][PDF] A deep learning framework to detect Covid-19 disease via chest X-ray and CT scan images.
MY Kamil - International Journal of Electrical & Computer …, 2021 - pdfs.semanticscholar.org
COVID-19 disease has rapidly spread all over the world at the beginning of this year. The
hospitals' reports have told that low sensitivity of RT-PCR tests in the infection early stage. At …
hospitals' reports have told that low sensitivity of RT-PCR tests in the infection early stage. At …
[HTML][HTML] A hybrid convolutional neural network model for diagnosis of COVID-19 using chest X-ray images
COVID-19 declared as a pandemic that has a faster rate of infection and has impacted the
lives and the country's economy due to forced lockdowns. Its detection using RT-PCR is …
lives and the country's economy due to forced lockdowns. Its detection using RT-PCR is …
[HTML][HTML] A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
The deadly coronavirus has not just devastated the lives of millions but has put the entire
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …
[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 …
COVID-19: Automatic detection of the novel coronavirus disease from CT images using an optimized convolutional neural network
It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …
dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and …
Automated detection of COVID-19 from CT scan using convolutional neural network
Under the prevailing circumstances of the global pandemic of COVID-19, early diagnosis
and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of …
and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of …
Deep convolutional neural network–based image classification for COVID-19 diagnosis
RM Tharsanee, RS Soundariya, AS Kumar… - Data science for COVID …, 2021 - Elsevier
Initial cases of COVID-19 trace back to the end of 2019 which has laid foundations for the
extensive spread of the disease risking lives worldwide. In response to the global …
extensive spread of the disease risking lives worldwide. In response to the global …