Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
The recent outbreak of Coronavirus Disease 2019 (COVID-19) has led to urgent needs for
reliable diagnosis and management of SARS-CoV-2 infection. The current guideline is using …
reliable diagnosis and management of SARS-CoV-2 infection. The current guideline is using …
[HTML][HTML] Robust chest CT image segmentation of COVID-19 lung infection based on limited data
Background The coronavirus disease 2019 (COVID-19) affects billions of lives around the
world and has a significant impact on public healthcare. For quantitative assessment and …
world and has a significant impact on public healthcare. For quantitative assessment and …
Automated chest ct image segmentation of covid-19 lung infection based on 3d u-net
The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and has
a significant impact on public healthcare. Due to rising skepticism towards the sensitivity of …
a significant impact on public healthcare. Due to rising skepticism towards the sensitivity of …
Deep learning models for COVID-19 infected area segmentation in CT images
A Voulodimos, E Protopapadakis… - Proceedings of the 14th …, 2021 - dl.acm.org
Recent studies indicated that detecting radiographic patterns on CT chest scans can yield
high sensitivity and specificity for COVID-19 detection. In this work, we scrutinize the …
high sensitivity and specificity for COVID-19 detection. In this work, we scrutinize the …
Self-ensembling co-training framework for semi-supervised COVID-19 CT segmentation
The coronavirus disease 2019 (COVID-19) has become a severe worldwide health
emergency and is spreading at a rapid rate. Segmentation of COVID lesions from computed …
emergency and is spreading at a rapid rate. Segmentation of COVID lesions from computed …
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19
lesions in chest computed tomography (CT) might play an important role in the monitoring …
lesions in chest computed tomography (CT) might play an important role in the monitoring …
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images
Abstract Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection
that has had devastating effects on the world. Recently, new COVID-19 variants are …
that has had devastating effects on the world. Recently, new COVID-19 variants are …
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 …
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 …
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
This paper presents an automatic classification segmentation tool for helping screening
COVID-19 pneumonia using chest CT imaging. The segmented lesions can help to assess …
COVID-19 pneumonia using chest CT imaging. The segmented lesions can help to assess …