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1 Ergebnisse
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Revealing the Denoising Principle of Zero-Shot N2N-Based Al..:
Si-Heng Luo
;
Si-Qi Pan
;
Gan-Yu Chen
...
doi:10.1021/acs.analchem.3c04608.s001. , 2024
Link:
https://doi.org/10.1021/acs.analchem.3c04608.s001
RT Journal T1
Revealing the Denoising Principle of Zero-Shot N2N-Based Algorithm from 1D Spectrum to 2D Image
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25299757&Exemplar=1&LAN=DE A1 Si-Heng Luo A1 Si-Qi Pan A1 Gan-Yu Chen A1 Yi Xie A1 Bin Ren A1 Guo-Kun Liu A1 Zhong-Qun Tian YR 2024 K1 Biotechnology K1 Space Science K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 supervised characteristic learning K1 prevent model overfitting K1 least ten times K1 https :// ramancloud K1 https :// github K1 extract weak signals K1 accessible online access K1 algorithms toward real K1 randomly distributed noise K1 introducing data augmentation K1 big data set K1 single noisy image K1 little performance loss K1 data augmentation module K1 although various n2n K1 performance denoising originates K1 lightweight peak2peak algorithm K1 lightweight p2p improved K1 based denoising algorithms K1 2d image denoising K1 based algorithms K1 noise image K1 2d image K1 based algorithm K1 denoising module K1 loss function K1 based denoising K1 image analysis K1 clean image K1 denoising speed K1 denoising principle K1 denoising behavior K1 high performance K1 would pave K1 working function K1 spatial resolutions K1 signal extraction K1 shot n2n K1 research improving K1 quantitatively analyzed K1 p2p provides K1 necessary step K1 naked eye K1 hardly identified JF doi:10.1021/acs.analchem.3c04608.s001 LK http://dx.doi.org/https://doi.org/10.1021/acs.analchem.3c04608.s001 DO https://doi.org/10.1021/acs.analchem.3c04608.s001 SF ELIB - SuUB Bremen
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