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MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images
Coronavirus Disease 2019 (COVID-19) has spread globally since the first case was reported in December 2019, becoming a world-wide existential health crisis with over 90 million total confirmed cases. Segmentation of lung infection from computed tomography (CT) scans via deep learning method has a gr...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344813/ https://www.ncbi.nlm.nih.gov/pubmed/35935468 http://dx.doi.org/10.1016/j.image.2022.116835 |