Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists
Abstract 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 pre...
Main Authors: | Shintaro Sukegawa, Sawako Ono, Futa Tanaka, Yuta Inoue, Takeshi Hara, Kazumasa Yoshii, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Shimada Katsumitsu, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Satoshi Murakami, Hitoshi Nagatsuka, Minoru Miyake |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-38343-y |
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