[HTML][HTML] Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open …
C Anastasopoulos, T Weikert, S Yang… - European journal of …, 2020 - Elsevier
Purpose During the emerging COVID-19 pandemic, radiology departments faced a
substantial increase in chest CT admissions coupled with the novel demand for …
substantial increase in chest CT admissions coupled with the novel demand for …
CovTANet: a hybrid tri-level attention-based network for lesion segmentation, diagnosis, and severity prediction of COVID-19 chest CT scans
Rapid and precise diagnosis of COVID-19 is one of the major challenges faced by the global
community to control the spread of this overgrowing pandemic. In this article, a hybrid neural …
community to control the spread of this overgrowing pandemic. In this article, a hybrid neural …
Jcs: An explainable covid-19 diagnosis system by joint classification and segmentation
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in
over 200 countries, influencing billions of humans. To control the infection, identifying and …
over 200 countries, influencing billions of humans. To control the infection, identifying and …
COVID-19 chest CT image segmentation--a deep convolutional neural network solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread rapidly across
various countries around the world since the end of the year 2019, Computed Tomography …
various countries around the world since the end of the year 2019, Computed Tomography …
Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction
Objective Computed tomography (CT) provides rich diagnosis and severity information of
COVID‐19 in clinical practice. However, there is no computerized tool to automatically …
COVID‐19 in clinical practice. However, there is no computerized tool to automatically …
Towards efficient COVID-19 CT annotation: A benchmark for lung and infection segmentation
Accurate segmentation of lung and infection in COVID-19 CT scans plays an important role
in the quantitative management of patients. Most of the existing studies are based on large …
in the quantitative management of patients. Most of the existing studies are based on large …
CdcSegNet: automatic COVID-19 infection segmentation from CT images
J Zhang, D Chen, D Ma, C Ying, X Sun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
It has been more than two years since the outbreak of COVID-19, which has spread to
almost every corner of the world and killed a great number of people. Rapid detection and …
almost every corner of the world and killed a great number of people. Rapid detection and …
[HTML][HTML] A deep learning-based diagnosis system for COVID-19 detection and pneumonia screening using CT imaging
R Mahmoudi, N Benameur, R Mabrouk… - Applied Sciences, 2022 - mdpi.com
Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a global
threat impacting the lives of millions of people worldwide. Automated detection of lung …
threat impacting the lives of millions of people worldwide. Automated detection of lung …
Detecting when pre-trained nnu-net models fail silently for covid-19 lung lesion segmentation
C Gonzalez, K Gotkowski, A Bucher… - … Image Computing and …, 2021 - Springer
Automatic segmentation of lung lesions in computer tomography has the potential to ease
the burden of clinicians during the Covid-19 pandemic. Yet predictive deep learning models …
the burden of clinicians during the Covid-19 pandemic. Yet predictive deep learning models …