Multimodal image fusion offers better spatial resolution for mass spectrometry imaging
High-resolution reconstruction has attracted increasing research interest in mass spectrometry imaging (MSI), but it remains a challenging ill-posed problem. In the present study, we proposed a deep learning model to fuse multimodal images to enhance the spatial resolution of MSI data, namely, DeepF...
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主要な著者: | , , , , , , , , , , , , |
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フォーマット: | 論文 |
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American Chemical Society
2023
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/105023/ http://dx.doi.org/10.1021/acs.analchem.3c02002 |
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