[HTML][HTML] Deep learning–based COVID-19 pneumonia classification using chest CT images: model generalizability
D Nguyen, F Kay, J Tan, Y Yan, YS Ng… - Frontiers in Artificial …, 2021 - frontiersin.org
Since the outbreak of the COVID-19 pandemic, worldwide research efforts have focused on
using artificial intelligence (AI) technologies on various medical data of COVID-19–positive …
using artificial intelligence (AI) technologies on various medical data of COVID-19–positive …
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
Abstract Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first
reported in late 2019 that has spread worldwide. Although some wealthy countries have …
reported in late 2019 that has spread worldwide. Although some wealthy countries have …
Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia
at Chest CT | Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu …
at Chest CT | Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu …
[HTML][HTML] Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: a multicentre study
Purpose To develop a deep learning-based method to assist radiologists to fast and
accurately identify patients with COVID-19 by CT images. Methods We retrospectively …
accurately identify patients with COVID-19 by CT images. Methods We retrospectively …
[HTML][HTML] Cvd-hnet: Classifying pneumonia and Covid-19 in chest x-ray images using deep network
S Suganyadevi, V Seethalakshmi - Wireless Personal Communications, 2022 - Springer
The use of computer-assisted analysis to improve image interpretation has been a long-
standing challenge in the medical imaging industry. In terms of image comprehension …
standing challenge in the medical imaging industry. In terms of image comprehension …
[HTML][HTML] COVID-19 pneumonia diagnosis using a simple 2D deep learning framework with a single chest CT image: model development and validation
H Ko, H Chung, WS Kang, KW Kim, Y Shin… - Journal of medical …, 2020 - jmir.org
Background Coronavirus disease (COVID-19) has spread explosively worldwide since the
beginning of 2020. According to a multinational consensus statement from the Fleischner …
beginning of 2020. According to a multinational consensus statement from the Fleischner …
[HTML][HTML] Using artificial intelligence for COVID-19 chest X-ray diagnosis
AA Borkowski, NA Viswanadhan, LB Thomas… - Federal …, 2020 - ncbi.nlm.nih.gov
Background Coronavirus disease-19 (COVID-19), caused by a novel member of the
coronavirus family, is a respiratory disease that rapidly reached pandemic proportions with …
coronavirus family, is a respiratory disease that rapidly reached pandemic proportions with …
[HTML][HTML] Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
J Chen, L Wu, J Zhang, L Zhang, D Gong, Y Zhao… - Scientific reports, 2020 - nature.com
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …
[HTML][HTML] Pneumonia classification using deep learning from chest X-ray images during COVID-19
The outbreak of the novel corona virus disease (COVID-19) in December 2019 has led to
global crisis around the world. The disease was declared pandemic by World Health …
global crisis around the world. The disease was declared pandemic by World Health …
[HTML][HTML] An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms
COVID-19 is a respiratory disease that, as of July 15th, 2021, has infected more than 187
million people worldwide and is responsible for more than 4 million deaths. An accurate …
million people worldwide and is responsible for more than 4 million deaths. An accurate …