[HTML][HTML] A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach
The sudden appearance of COVID-19 has put the world in a serious situation. Due to the
rapid spread of the virus and the increase in the number of infected patients and deaths …
rapid spread of the virus and the increase in the number of infected patients and deaths …
COVID-19 and associated lung disease classification using deep learning
Coronavirus 2019, well familiar as COVID-19, is a virus that causes significant pneumonia
and has varying degrees of severity based on the patient's capability. The coronavirus …
and has varying degrees of severity based on the patient's capability. The coronavirus …
[HTML][HTML] An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images
Abstract Novel coronavirus (COVID-19) is started from Wuhan (City in China), and is rapidly
spreading among people living in other countries. Today, around 215 countries are affected …
spreading among people living in other countries. Today, around 215 countries are affected …
Covid-19 classification using deep learning in chest X-ray images
Z Karhan, A Fuat - 2020 medical technologies congress …, 2020 - ieeexplore.ieee.org
Covid-19 virus, which has emerged in the Republic of China in an undetermined cause, has
affected the whole world quickly. It is important to detect positive cases early to prevent …
affected the whole world quickly. It is important to detect positive cases early to prevent …
[HTML][HTML] Classification of COVID-19 by compressed chest CT image through deep learning on a large patients cohort
Z Zhu, Z Xingming, G Tao, T Dan, J Li, X Chen… - Interdisciplinary …, 2021 - Springer
Abstract Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in
a large number of causalities and medical resources insufficiency in many countries …
a large number of causalities and medical resources insufficiency in many countries …
[HTML][HTML] Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images
Background: The world faced a deadly disease encounter by the starting of 2020, known as
coronavirus disease 2019 (COVID-19). Due to the rapid increase in the counts of COVID …
coronavirus disease 2019 (COVID-19). Due to the rapid increase in the counts of COVID …
[PDF][PDF] Smart Medical Application of Deep Learning (MUNet) for Detection of COVID-19 from Chest Images
Fighting the outbreak of COVID-19 is now one of humanity's most critical matters. Rapid
detection and isolation of infected people are crucial for decelerating the disease's spread …
detection and isolation of infected people are crucial for decelerating the disease's spread …
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients
Background: The ongoing fight with Novel Corona Virus, getting quick treatment, and rapid
diagnosis reports have become an act of high priority. With millions getting infected daily …
diagnosis reports have become an act of high priority. With millions getting infected daily …
[HTML][HTML] A review study of the deep learning techniques used for the classification of chest radiological images for COVID-19 diagnosis
Y Wang, CA Hargreaves - International Journal of Information Management …, 2022 - Elsevier
In the fight against COVID-19, the immediate and accurate screening of infected patients is
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …
[HTML][HTML] COVIDC: An expert system to diagnose COVID-19 and predict its severity using chest CT scans: Application in radiology
Early diagnosis of Coronavirus disease 2019 (COVID-19) is significantly important,
especially in the absence or inadequate provision of a specific vaccine, to stop the surge of …
especially in the absence or inadequate provision of a specific vaccine, to stop the surge of …