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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Detalles Bibliográficos
Autores principales: Onishi, Yuya, Teramoto, Atsushi, Tsujimoto, Masakazu, Tsukamoto, Tetsuya, Saito, Kuniaki, Toyama, Hiroshi, Imaizumi, Kazuyoshi, Fujita, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334309/
https://www.ncbi.nlm.nih.gov/pubmed/30719445
http://dx.doi.org/10.1155/2019/6051939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334309/
https://www.ncbi.nlm.nih.gov/pubmed/30719445
http://dx.doi.org/10.1155/2019/6051939

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