Huizhuo Yuan - Google 学术搜索 - Google Scholar
SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction
SIPID: A deep learning framework for sinogram ... - IEEE Xplore
In this work, we propose a hybrid deep learning approach that combines sinogram interpolation with image denoising, referred to as SIPID. Through alternatively training the sinogram …
SIPID/README.md at master · gjlper/SIPID - GitHub
A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction. Contribute to gjlper/SIPID development by creating an account on GitHub.
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SIPID: A deep learning framework for sinogram ... - ResearchGate
2018年4月1日 · In this paper, we report on applying machine learning to the sinogram completion task in cycloidal CT, with the aim of reconstructing high quality images from incomplete (low …
SIPID: A deep learning framework for sinogram interpolation
SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction. H. Yuan, J. Jia, and Z. Zhu. ISBI, page 1521-1524. IEEE, (2018) The blue …
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Sipid: A Deep Learning Framework For Sinogram Interpolation …
In this work, we propose a hybrid deep learning approach that combines sinogram interpolation with image denoising, referred to as SIPI...
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