Weakly supervised label propagation algorithm classifies lung cancer imaging subtypes

Aiming at the problems of long time, high cost, invasive sampling damage, and easy emergence of drug resistance in lung cancer gene detection, a reliable and non-invasive prognostic method is proposed. Under the guidance of weakly supervised learning, deep metric learning and graph clustering method...

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Detalles Bibliográficos
Autores principales: Ren, Xueting, Jia, Liye, Zhao, Zijuan, Qiang, Yan, Wu, Wei, Han, Peng, Zhao, Juanjuan, Sun, Jingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063585/
https://www.ncbi.nlm.nih.gov/pubmed/36997586
http://dx.doi.org/10.1038/s41598-023-32301-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063585/
https://www.ncbi.nlm.nih.gov/pubmed/36997586
http://dx.doi.org/10.1038/s41598-023-32301-4

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