Effective deep learning for oral exfoliative cytology classification

The use of sharpness aware minimization (SAM) as an optimizer that achieves high performance for convolutional neural networks (CNNs) is attracting attention in various fields of deep learning. We used deep learning to perform classification diagnosis in oral exfoliative cytology and to analyze perf...

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Detalles Bibliográficos
Autores principales: Sukegawa, Shintaro, Tanaka, Futa, Nakano, Keisuke, Hara, Takeshi, Yoshii, Kazumasa, Yamashita, Katsusuke, Ono, Sawako, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hitoshi, Furuki, Yoshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346110/
https://www.ncbi.nlm.nih.gov/pubmed/35918498
http://dx.doi.org/10.1038/s41598-022-17602-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346110/
https://www.ncbi.nlm.nih.gov/pubmed/35918498
http://dx.doi.org/10.1038/s41598-022-17602-4

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