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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Détails bibliographiques
Publié dans:Heliyon
Auteurs principaux: Nishio, Mizuho, Nagashima, Chihiro, Hirabayashi, Saori, Ohnishi, Akinori, Sasaki, Kaori, Sagawa, Tomoyuki, Hamada, Masayuki, Yamashita, Tatsuo
Format: Artigo
Langue:Inglês
Publié: Elsevier 2017
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5577435/
https://ncbi.nlm.nih.gov/pubmed/28920094
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2017.e00393
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