SS-TBN : A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation
Insufficient annotated data and minor lung lesions pose big challenges for computed tomography (CT)-aided automatic COVID-19 diagnosis at an early outbreak stage. To address this issue, we propose a Semi-Supervised Tri-Branch Network (SS-TBN). First, we develop a joint TBN model for dual-task applic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 03. Aug., Seite 10427-10442
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| 1. Verfasser: |
Zeng, Ling-Li
(VerfasserIn) |
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| Weitere Verfasser: |
Gao, Kai,
Hu, Dewen,
Feng, Zhichao,
Hou, Chenping,
Rong, Pengfei,
Wang, Wei |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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