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...

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Detalles Bibliográficos
Autores principales: Chi, Jianning, Zhang, Shuang, Han, Xiaoying, Wang, Huan, Wu, Chengdong, Yu, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
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

Internet

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

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