COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
Abstract Background Currently, there is an urgent need for efficient tools to assess the diagnosis of COVID-19 patients. In this paper, we present feasible solutions for detecting and labeling infected tissues on CT lung images of such patients. Two structurally-different deep learning techniques, S...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2021-02-01
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| Schriftenreihe: | BMC Medical Imaging |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s12880-020-00529-5 |
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