Deep learning models-based CT-scan image classification for automated screening of COVID-19
COVID-19 is the most transmissible disease, caused by the SARS-CoV-2 virus that severely
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
A survey of machine learning-based methods for COVID-19 medical image analysis
K Sailunaz, T Özyer, J Rokne, R Alhajj - Medical & Biological Engineering …, 2023 - Springer
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …
6.6 million deaths with more than 637 million people infected after only 30 months since the …
Automatic COVID-19 detection using exemplar hybrid deep features with X-ray images
COVID-19 and pneumonia detection using medical images is a topic of immense interest in
medical and healthcare research. Various advanced medical imaging and machine learning …
medical and healthcare research. Various advanced medical imaging and machine learning …
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
Background The recent emergence of a highly infectious and contagious respiratory viral
disease known as COVID-19 has vastly impacted human lives and overloaded the health …
disease known as COVID-19 has vastly impacted human lives and overloaded the health …
[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
A Sharma, PK Mishra - Multimedia Tools and Applications, 2022 - Springer
The outbreak of novel coronavirus (COVID-19) disease has infected more than 135.6 million
people globally. For its early diagnosis, researchers consider chest X-ray examinations as a …
people globally. For its early diagnosis, researchers consider chest X-ray examinations as a …
A deep learning approach for classification of COVID and pneumonia using DenseNet‐201
HA Sanghvi, RH Patel, A Agarwal… - … Journal of Imaging …, 2023 - Wiley Online Library
In the present paper, our model consists of deep learning approach: DenseNet201 for
detection of COVID and Pneumonia using the Chest X‐ray Images. The model is a …
detection of COVID and Pneumonia using the Chest X‐ray Images. The model is a …
xViTCOS: explainable vision transformer based COVID-19 screening using radiography
Objective: Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19)
across the globe has pushed the health care system in many countries to the verge of …
across the globe has pushed the health care system in many countries to the verge of …