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

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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Bibliographic Details
Main Authors: Atsushi Teramoto, Ayumi Yamada, Tetsuya Tsukamoto, Yuka Kiriyama, Eiko Sakurai, Kazuya Shiogama, Ayano Michiba, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Heliyon
Subjects:
Giemsa stain
Papanicolaou stain
Translation
Cycle-consistent generative adversarial network
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021004369

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