COVID‐19 CT image segmentation based on improved Res2Net

PURPOSE: Corona virus disease 2019 (COVID‐19) is threatening the health of the global people and bringing great losses to our economy and society. However, computed tomography (CT) image segmentation can make clinicians quickly identify the COVID‐19‐infected regions. Accurate segmentation infection...

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Detalles Bibliográficos
Autores principales: Liu, Shangwang, Tang, Xiufang, Cai, Tongbo, Zhang, Yangyang, Wang, Changgeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538682/
https://www.ncbi.nlm.nih.gov/pubmed/35916116
http://dx.doi.org/10.1002/mp.15882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538682/
https://www.ncbi.nlm.nih.gov/pubmed/35916116
http://dx.doi.org/10.1002/mp.15882

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