Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our previous study, we introduced a deep convolutional neural network (DCNN) to automatically classify cytological images as images with benign or malignant features and achieved an accuracy of 81.0%. To fur...

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Detalles Bibliográficos
Publicado en:PLoS One
Main Authors: Teramoto, Atsushi, Tsukamoto, Tetsuya, Yamada, Ayumi, Kiriyama, Yuka, Imaizumi, Kazuyoshi, Saito, Kuniaki, Fujita, Hiroshi
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2020
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7058306/
https://ncbi.nlm.nih.gov/pubmed/32134949
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0229951
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