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Self-supervised PET Denoising

PURPOSE: Early deep-learning-based image denoising techniques mainly focused on a fully supervised model that learns how to generate a clean image from the noisy input (noise2clean: N2C). The aim of this study is to explore the feasibility of the self-supervised methods (noise2noise: N2N and noiser2...

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Bibliografske podrobnosti
izdano v:Nucl Med Mol Imaging
Main Authors: Yie, Si Young, Kang, Seung Kwan, Hwang, Donghwi, Lee, Jae Sung
Format: Artigo
Jezik:Inglês
Izdano: Springer Singapore 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7704825/
https://ncbi.nlm.nih.gov/pubmed/33282001
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13139-020-00667-2
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