DBF-Net: a semi-supervised dual-task balanced fusion network for segmenting infected regions from lung CT images

Accurate segmentation of infected regions in lung computed tomography (CT) images is essential to improve the timeliness and effectiveness of treatment for coronavirus disease 2019 (COVID-19). However, the main difficulties in developing of lung lesion segmentation in COVID-19 are still the fuzzy bo...

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Detalles Bibliográficos
Autores principales: Lu, Xiaoyan, Xu, Yang, Yuan, Wenhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483907/
https://www.ncbi.nlm.nih.gov/pubmed/37193370
http://dx.doi.org/10.1007/s12530-022-09466-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483907/
https://www.ncbi.nlm.nih.gov/pubmed/37193370
http://dx.doi.org/10.1007/s12530-022-09466-w

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