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A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images
Recent studies indicate that detecting radiographic patterns on CT chest scans can yield high sensitivity and specificity for COVID-19 identification. In this paper, we scrutinize the effectiveness of deep learning models for semantic segmentation of pneumonia-infected area segmentation in CT images...
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| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8004971/ https://ncbi.nlm.nih.gov/pubmed/33810066 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21062215 |
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