[HTML][HTML] Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
[HTML][HTML] Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging
Harmonizing the analysis of data, especially of 3-D image volumes, consisting of different
number of slices and annotated per volume, is a significant problem in training and using …
number of slices and annotated per volume, is a significant problem in training and using …
[HTML][HTML] A survey on active learning: State-of-the-art, practical challenges and research directions
A Tharwat, W Schenck - Mathematics, 2023 - mdpi.com
Despite the availability and ease of collecting a large amount of free, unlabeled data, the
expensive and time-consuming labeling process is still an obstacle to labeling a sufficient …
expensive and time-consuming labeling process is still an obstacle to labeling a sufficient …
Detection of COVID-19 using deep learning techniques and classification methods
Ç Oğuz, M Yağanoğlu - Information Processing & Management, 2022 - Elsevier
Since the patient is not quarantined during the conclusion of the Polymerase Chain
Reaction (PCR) test used in the diagnosis of COVID-19, the disease continues to spread. In …
Reaction (PCR) test used in the diagnosis of COVID-19, the disease continues to spread. In …
[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] The role of metacognition in promoting deep learning in MOOCs during COVID-19 pandemic
MYH Elbyaly, AIM Elfeky - PeerJ Computer Science, 2022 - peerj.com
In many nations affected by the COVID-19 pandemic, the situation in higher education
institutions has changed. During the pandemic, these institutions have introduced numerous …
institutions has changed. During the pandemic, these institutions have introduced numerous …
[HTML][HTML] DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a
significant effect on the well-being of the global population, thus increasing the demand for …
significant effect on the well-being of the global population, thus increasing the demand for …
[HTML][HTML] Diagnosing COVID-19 using artificial intelligence: A comprehensive review
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
[HTML][HTML] COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans
In this paper we propose two novel deep convolutional network architectures, CovidResNet
and CovidDenseNet, to diagnose COVID-19 based on CT images. The models enable …
and CovidDenseNet, to diagnose COVID-19 based on CT images. The models enable …