Convolutional auto-encoder for image denoising of ultra-low-dose CT

OBJECTIVES: The purpose of this study was to validate a patch-based image denoising method for ultra-low-dose CT images. Neural network with convolutional auto-encoder and pairs of standard-dose CT and ultra-low-dose CT image patches were used for image denoising. The performance of the proposed met...

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Detalles Bibliográficos
Autores principales: Nishio, Mizuho, Nagashima, Chihiro, Hirabayashi, Saori, Ohnishi, Akinori, Sasaki, Kaori, Sagawa, Tomoyuki, Hamada, Masayuki, Yamashita, Tatsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577435/
https://www.ncbi.nlm.nih.gov/pubmed/28920094
http://dx.doi.org/10.1016/j.heliyon.2017.e00393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577435/
https://www.ncbi.nlm.nih.gov/pubmed/28920094
http://dx.doi.org/10.1016/j.heliyon.2017.e00393

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