Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …
detect infections early and assess the disease progression. Especially, automated severity …
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
How to fast and accurately assess the severity level of COVID-19 is an essential problem,
when millions of people are suffering from the pandemic around the world. Currently, the …
when millions of people are suffering from the pandemic around the world. Currently, the …
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
Abstract Coronavirus Disease 2019 (COVID-19) still presents a pandemic trend globally.
Detecting infected individuals and analyzing their status can provide patients with proper …
Detecting infected individuals and analyzing their status can provide patients with proper …
Accurate screening of COVID-19 using attention-based deep 3D multiple instance learning
Automated Screening of COVID-19 from chest CT is of emergency and importance during
the outbreak of SARS-CoV-2 worldwide in 2020. However, accurate screening of COVID-19 …
the outbreak of SARS-CoV-2 worldwide in 2020. However, accurate screening of COVID-19 …
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 …
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Z Li, S Zhao, Y Chen, F Luo, Z Kang, S Cai… - Expert Systems with …, 2021 - Elsevier
Millions of positive COVID-19 patients are suffering from the pandemic around the world, a
critical step in the management and treatment is severity assessment, which is quite …
critical step in the management and treatment is severity assessment, which is quite …
Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis
Given the outbreak of COVID-19 pandemic and the shortage of medical resource, extensive
deep learning models have been proposed for automatic COVID-19 diagnosis, based on 3D …
deep learning models have been proposed for automatic COVID-19 diagnosis, based on 3D …
Diagnosis of coronavirus disease 2019 (COVID-19) with structured latent multi-view representation learning
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across
the world. Due to the large number of infected patients and heavy labor for doctors …
the world. Due to the large number of infected patients and heavy labor for doctors …
[HTML][HTML] CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification
The current COVID-19 pandemic overloads healthcare systems, including radiology
departments. Though several deep learning approaches were developed to assist in CT …
departments. Though several deep learning approaches were developed to assist in CT …
[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 …
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