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COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
BACKGROUND: Currently, there is an urgent need for efficient tools to assess the diagnosis of COVID-19 patients. In this paper, we present feasible solutions for detecting and labeling infected tissues on CT lung images of such patients. Two structurally-different deep learning techniques, SegNet an...
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| Pubblicato in: | BMC Med Imaging |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7870362/ https://ncbi.nlm.nih.gov/pubmed/33557772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-020-00529-5 |
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