Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks - Teramoto, Atsushi; Tsukamoto, Tetsuya; Yamada, Ayumi; Kiriyama, Yuka; Imaizumi, Kazuyoshi; Saito, Kuniaki; Fujita, Hiroshi (PloS one, 2020)
Keywords: Accuracy; Artificial neural networks; Automation; Benign; Biology and Life Sciences; Bone marrow; Cable television broadcasting industry; Cancer diagnosis; Cancer therapies; Cellular biology; Classification; Computer and Information Sciences; Cytology; Data acquisition; Deep learning; Generative adversarial networks; Image acquisition; Image classification; Image quality; Image resolution; Lung cancer; Lung diseases; Machine learning; Medical diagnosis; Medical imaging; Medical imaging equipment; Medicine; Medicine and Health Sciences; Microscopy; Neural networks; Performance evaluation; Research and Analysis Methods; Synthesis; Training; United States; Japan