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SELDNet: Sequenced encoder and lightweight decoder network for COVID-19 infection region segmentation()
Segmenting regions of lung infection from computed tomography (CT) images shows excellent potential for rapid and accurate quantifying of Coronavirus disease 2019 (COVID-19) infection and determining disease development and treatment approaches. However, a number of challenges remain, including the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927817/ https://www.ncbi.nlm.nih.gov/pubmed/36818573 http://dx.doi.org/10.1016/j.displa.2023.102395 |