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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004971/ https://www.ncbi.nlm.nih.gov/pubmed/33810066 http://dx.doi.org/10.3390/s21062215 |