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

Internet

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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