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Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.

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第一作者： Peichao,Li

第一单位： School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

作者： Peichao,Li ^[1] ; Michael,Ebner ^[2] ; Philip,Noonan ^[1] ; Conor,Horgan ^[2] ; Anisha,Bahl ^[1] ; Sébastien,Ourselin ^[2] ; Jonathan,Shapey ^[3] ; Tom,Vercauteren ^[2]

作者单位： School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. ^[1] School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.;Hypervision Surgical Ltd, London, UK. ^[2] School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.;Hypervision Surgical Ltd, London, UK.;Department of Neurosurgery, King's College Hospital NHS Foundation Trust, London, UK. ^[3]

关键词 Hyperspectral imaging deep learning demosaicking surgical imaging

DOI 10.1080/21681163.2021.1997646

PMID 38013723

发布时间 2023-11-29

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Computer methods in biomechanics and biomedical engineering. Imaging & visualization

2022年10卷4期

409-417页

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Computer methods in biomechanics and biomedical engineering. Imaging & visualization

2022年10卷4期

409-417页

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Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.

Computer methods in biomechanics and biomedical engineering. Imaging & visualization

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Computer methods in biomechanics and biomedical engineering. Imaging & visualization

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Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.

Computer methods in biomechanics and biomedical engineering. Imaging & visualization

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Computer methods in biomechanics and biomedical engineering. Imaging & visualization

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