Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography-Reference-Cited by-同舟云学术

Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography

Published:2022-11 Issue:11 Volume:41 Page:3357-3372
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Geng Mufeng¹^ORCID,Meng Xiangxi²^ORCID,Zhu Lei¹^ORCID,Jiang Zhe¹^ORCID,Gao Mengdi¹,Huang Zhiyu¹,Qiu Bin¹,Hu Yicheng¹,Zhang Yibao²^ORCID,Ren Qiushi¹,Lu Yanye¹^ORCID

Affiliation:

1. Institute of Medical Technology, Peking University Health Science Center, Peking University, Beijing, China

2. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China

Funder

Beijing Natural Science Foundation

Shenzhen Science and Technology Program

Open Project through the Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, under Grant 2022 Open Project-2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9931396/09800979.pdf?arnumber=9800979

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