MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
The rapid spread of the new pandemic, i.e., COVID-19, has severely threatened global health. Deep-learning-based computer-aided screening, e.g., COVID-19 infected CT area segmentation, has attracted much attention. However, the publicly available COVID-19 training data are limited, easily causing ov...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Pré-impressão |
| Språk: | engelska |
| Publicerad: |
2020
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| Länkar: | https://doi.org/10.48550/arxiv.2004.09750 |
| Taggar: |
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