Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning

In cytological examination, suspicious cells are evaluated regarding malignancy and cancer type. To assist this, we previously proposed an automated method based on supervised learning that classifies cells in lung cytological images as benign or malignant. However, it is often difficult to label al...

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Detalles Bibliográficos
Autores principales: Teramoto, Atsushi, Kiriyama, Yuka, Tsukamoto, Tetsuya, Sakurai, Eiko, Michiba, Ayano, Imaizumi, Kazuyoshi, Saito, Kuniaki, Fujita, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514584/
https://www.ncbi.nlm.nih.gov/pubmed/34645863
http://dx.doi.org/10.1038/s41598-021-99246-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514584/
https://www.ncbi.nlm.nih.gov/pubmed/34645863
http://dx.doi.org/10.1038/s41598-021-99246-4

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