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COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features
We present COVID-CT-Mask-Net model that predicts COVID-19 in chest CT scans. The model works in two stages: in the first stage, Mask R-CNN is trained to localize and detect two types of lesions in images. In the second stage, these detections are fused to classify the whole input image. To develop t...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741555/ https://www.ncbi.nlm.nih.gov/pubmed/35035092 http://dx.doi.org/10.1007/s10489-021-02731-6 |