Mutual stain conversion between Giemsa and Papanicolaou in cytological images using cycle generative adversarial network

OBJECTIVE: Papanicolaou and Giemsa stains used in cytology have different characteristics and complementary roles. In this study, we focused on cycle-consistent generative adversarial network (CycleGAN), which is an image translation technique using deep learning, and we conducted mutual stain conve...

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Detalles Bibliográficos
Autores principales: Teramoto, Atsushi, Yamada, Ayumi, Tsukamoto, Tetsuya, Kiriyama, Yuka, Sakurai, Eiko, Shiogama, Kazuya, Michiba, Ayano, Imaizumi, Kazuyoshi, Saito, Kuniaki, Fujita, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921513/
https://www.ncbi.nlm.nih.gov/pubmed/33718644
http://dx.doi.org/10.1016/j.heliyon.2021.e06331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921513/
https://www.ncbi.nlm.nih.gov/pubmed/33718644
http://dx.doi.org/10.1016/j.heliyon.2021.e06331

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