Automatically transferring supervised targets method for segmenting lung lesion regions with CT imaging

BACKGROUND: To present an approach that autonomously identifies and selects a self-selective optimal target for the purpose of enhancing learning efficiency to segment infected regions of the lung from chest computed tomography images. We designed a semi-supervised dual-branch framework for training...

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Detalles Bibliográficos
Autores principales: Du, Peng, Niu, Xiaofeng, Li, Xukun, Ying, Chiqing, Zhou, Yukun, He, Chang, Lv, Shuangzhi, Liu, Xiaoli, Du, Weibo, Wu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478337/
https://www.ncbi.nlm.nih.gov/pubmed/37667214
http://dx.doi.org/10.1186/s12859-023-05435-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478337/
https://www.ncbi.nlm.nih.gov/pubmed/37667214
http://dx.doi.org/10.1186/s12859-023-05435-5

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