Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi… - Pattern recognition, 2021 - Elsevier
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …
被引用次数：103 相关文章
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[HTML][HTML] Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi… - Pattern …, 2021 - ncbi.nlm.nih.gov
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi… - Pattern …, 2021 - europepmc.org
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, F Shi… - arXiv preprint arXiv …, 2020 - arxiv.org
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang… - Pattern …, 2021 - pubmed.ncbi.nlm.nih.gov
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi… - Pattern …, 2021 - pure.korea.ac.kr
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang… - Pattern …, 2021 - scholar.korea.ac.kr
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang… - Pattern …, 2021 - ui.adsabs.harvard.edu
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images

K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, F Shi, Y Gao… - 2020 - europepmc.org
Understanding chest CT imaging of the coronavirus disease 2019 (COVID-19) will help
detect infections early and assess the disease progression. Especially, automated severity …