[HTML][HTML] Sd-unet: A novel segmentation framework for ct images of lung infections
S Yin, H Deng, Z Xu, Q Zhu, J Cheng - Electronics, 2022 - mdpi.com
Due to the outbreak of lung infections caused by the coronavirus disease (COVID-19),
humans have to face an unprecedented and devastating global health crisis. Since chest …
humans have to face an unprecedented and devastating global health crisis. Since chest …
[HTML][HTML] A comprehensive survey of COVID-19 detection using medical images
The outbreak of the Coronavirus disease 2019 (COVID-19) caused the death of a large
number of people and declared as a pandemic by the World Health Organization. Millions of …
number of people and declared as a pandemic by the World Health Organization. Millions of …
[HTML][HTML] AI-based image processing for COVID-19 detection in chest CT scan images
The COVID-19 pandemic has attracted the attention of big data analysts and artificial
intelligence engineers. The classification of computed tomography (CT) chest images into …
intelligence engineers. The classification of computed tomography (CT) chest images into …
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system
The sudden outbreak of novel coronavirus 2019 (COVID-19) increased the diagnostic
burden of radiologists. In the time of an epidemic crisis, we hope artificial intelligence (AI) to …
burden of radiologists. In the time of an epidemic crisis, we hope artificial intelligence (AI) to …
[HTML][HTML] Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes
The rapid evolution of the novel coronavirus disease (COVID-19) pandemic has resulted in
an urgent need for effective clinical tools to reduce transmission and manage severe illness …
an urgent need for effective clinical tools to reduce transmission and manage severe illness …
[HTML][HTML] CoSinGAN: learning COVID-19 infection segmentation from a single radiological image
Computed tomography (CT) images are currently being adopted as the visual evidence for
COVID-19 diagnosis in clinical practice. Automated detection of COVID-19 infection from CT …
COVID-19 diagnosis in clinical practice. Automated detection of COVID-19 infection from CT …
[HTML][HTML] Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams.
Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less …
Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less …
Coronavirus detection and analysis on chest ct with deep learning
O Gozes, M Frid-Adar, N Sagie, H Zhang, W Ji… - arXiv preprint arXiv …, 2020 - arxiv.org
The outbreak of the novel coronavirus, officially declared a global pandemic, has a severe
impact on our daily lives. As of this writing there are approximately 197,188 confirmed cases …
impact on our daily lives. As of this writing there are approximately 197,188 confirmed cases …
COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentation
With the Coronavirus disease 2019 (COVID-19) spread, causing a world pandemic, and
recently, the virus new variants continue to appear, making the situation more challenging …
recently, the virus new variants continue to appear, making the situation more challenging …
[HTML][HTML] COVID19-CT-dataset: an open-access chest CT image repository of 1000+ patients with confirmed COVID-19 diagnosis
Abstract Objectives The ongoing Coronavirus disease 2019 (COVID-19) pandemic has
drastically impacted the global health and economy. Computed tomography (CT) is the …
drastically impacted the global health and economy. Computed tomography (CT) is the …