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HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution

the automatic segmentation of lung infections in CT slices provides a rapid and effective strategy for diagnosing, treating, and assessing COVID-19 cases. However, the segmentation of the infected areas presents several difficulties, including high intraclass variability and interclass similarity am...

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Detalles Bibliográficos
Autores principales:	Chen, Ying, Zhou, Taohui, Chen, Yi, Feng, Longfeng, Zheng, Cheng, Liu, Lan, Hu, Liping, Pan, Bujian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Ltd. 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391231/ https://www.ncbi.nlm.nih.gov/pubmed/36029749 http://dx.doi.org/10.1016/j.compbiomed.2022.105981

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