SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images

The automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images is helpful in establishing a quantitative model to diagnose and treat COVID-19. To this end, this study proposes a lightweight segmentation network called the SuperMini-Seg. We propose a new module called the tr...

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Detalles Bibliográficos
Autores principales: Yang, Yuan, Zhang, Lin, Ren, Lei, Zhou, Longfei, Wang, Xiaohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028361/
https://www.ncbi.nlm.nih.gov/pubmed/36998783
http://dx.doi.org/10.1016/j.bspc.2023.104896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028361/
https://www.ncbi.nlm.nih.gov/pubmed/36998783
http://dx.doi.org/10.1016/j.bspc.2023.104896

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