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

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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Bibliographic Details
Main Authors: Mizuho Nishio, Chihiro Nagashima, Saori Hirabayashi, Akinori Ohnishi, Kaori Sasaki, Tomoyuki Sagawa, Masayuki Hamada, Tatsuo Yamashita
Format: Article
Language:English
Published: Elsevier 2017-08-01
Series:Heliyon
Subjects:
Computer science
Medical imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844016321600

Internet

http://www.sciencedirect.com/science/article/pii/S2405844016321600

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