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	Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks.
	Ashkan Abbasi; Amirhassan Monadjemi; Leyuan Fang; Hossein Rabbani; Yi Zhang
刊名	Computers in biology and medicine
	2019
卷号	Vol.108页码:1-8
关键词	Fully convolutional network (FCN) Image denoising Multi-input FCN Optical coherence tomography (OCT)
ISSN号	1879-0534
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4734680
专题	湖南大学
作者单位	Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran. Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran. Electronic address: monadjemi@eng.ui.ac.ir. College of Electrical and Information Engineering, Hunan University, Changsha, China. Electronic address: leyuan_fang@hnu.edu.cn. Department of Biomedical Engineering, Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. College of Computer Science, Sichuan University, Chengdu, China.
推荐引用方式 GB/T 7714	Ashkan Abbasi,Amirhassan Monadjemi,Leyuan Fang,et al. Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks.[J]. Computers in biology and medicine,2019,Vol.108:1-8.
APA	Ashkan Abbasi,Amirhassan Monadjemi,Leyuan Fang,Hossein Rabbani,&Yi Zhang.(2019).Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks..Computers in biology and medicine,Vol.108,1-8.
MLA	Ashkan Abbasi,et al."Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks.".Computers in biology and medicine Vol.108(2019):1-8.

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