Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network

Purpose: The purpose of this study was to develop and evaluate lung cancer segmentation with a pretrained model and transfer learning. The pretrained model was constructed from an artificial dataset generated using a generative adversarial network (GAN). Materials and Methods: Three public datasets...

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Detalles Bibliográficos
Autores principales: Nishio, Mizuho, Fujimoto, Koji, Matsuo, Hidetoshi, Muramatsu, Chisako, Sakamoto, Ryo, Fujita, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322116/
https://www.ncbi.nlm.nih.gov/pubmed/34337394
http://dx.doi.org/10.3389/frai.2021.694815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322116/
https://www.ncbi.nlm.nih.gov/pubmed/34337394
http://dx.doi.org/10.3389/frai.2021.694815

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