Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images.
Deep learning technology has been used in the medical field to produce devices for clinical practice. Deep learning methods in cytology offer the potential to enhance cancer screening while also providing quantitative, objective, and highly reproducible testing. However, constructing high-accuracy d...
Main Authors: | Yuki Kurita, Shiori Meguro, Naoko Tsuyama, Isao Kosugi, Yasunori Enomoto, Hideya Kawasaki, Takashi Uemura, Michio Kimura, Toshihide Iwashita |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0285996 |
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