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MathWorks Inc
raman spectra classification ![]() Raman Spectra Classification, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/raman spectra classification/product/MathWorks Inc Average 96 stars, based on 1 article reviews
raman spectra classification - by Bioz Stars,
2026-06
96/100 stars
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Buy from Supplier |
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MathWorks Inc
raman spectral data ![]() Raman Spectral Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/raman spectral data/product/MathWorks Inc Average 96 stars, based on 1 article reviews
raman spectral data - by Bioz Stars,
2026-06
96/100 stars
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Buy from Supplier |
Image Search Results
Journal: Scientific Reports
Article Title: Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts
doi: 10.1038/s41598-023-28479-2
Figure Lengend Snippet: CNN architecture for Raman spectroscopy analysis.
Article Snippet: A one-dimensional CNN for
Techniques: Raman Spectroscopy
Journal: Scientific Reports
Article Title: Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts
doi: 10.1038/s41598-023-28479-2
Figure Lengend Snippet: Variable importance plots of the classification of irradiated versus nonirradiated breast tissue Raman spectra based on GBR-NMF scores with Random Forest.
Article Snippet: A one-dimensional CNN for
Techniques: Irradiation
Journal: Scientific Reports
Article Title: Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts
doi: 10.1038/s41598-023-28479-2
Figure Lengend Snippet: Percentage of correctly classified spectra (test accuracy) corresponding to each Raman map of mouse 1 being removed from the training set (leave-one-map-out validation). CNN (violet) and GBR-NMF-RF (blue). Map labels given as mouse number_(section #)_(map #). *Represent significant difference between CNN and GBR-NMF-RF (p < 0.05), ns = not significant.
Article Snippet: A one-dimensional CNN for
Techniques: Biomarker Discovery