Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists

The study aims to identify histological classifiers from histopathological images of oral squamous cell carcinoma using convolutional neural network (CNN) deep learning models and shows how the results can improve diagnosis. Histopathological samples of oral squamous cell carcinoma were prepared by...

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Detalles Bibliográficos
Autores principales: Sukegawa, Shintaro, Ono, Sawako, Tanaka, Futa, Inoue, Yuta, Hara, Takeshi, Yoshii, Kazumasa, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Katsumitsu, Shimada, Nakai, Fumi, Nakai, Yasuhiro, Miyazaki, Ryo, Murakami, Satoshi, Nagatsuka, Hitoshi, Miyake, Minoru
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/PMC10356919/
https://www.ncbi.nlm.nih.gov/pubmed/37468501
http://dx.doi.org/10.1038/s41598-023-38343-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356919/
https://www.ncbi.nlm.nih.gov/pubmed/37468501
http://dx.doi.org/10.1038/s41598-023-38343-y

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