Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

Lung cancer is a leading cause of death worldwide. Although computed tomography (CT) examinations are frequently used for lung cancer diagnosis, it can be difficult to distinguish between benign and malignant pulmonary nodules on the basis of CT images alone. Therefore, a bronchoscopic biopsy may be...

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Detalhes bibliográficos
Publicado no:Biomed Res Int
Main Authors: Onishi, Yuya, Teramoto, Atsushi, Tsujimoto, Masakazu, Tsukamoto, Tetsuya, Saito, Kuniaki, Toyama, Hiroshi, Imaizumi, Kazuyoshi, Fujita, Hiroshi
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6334309/
https://ncbi.nlm.nih.gov/pubmed/30719445
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/6051939
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