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Raman spectroscopic analysis of fresh tissue samples from brain tumors
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0003-1845-6199
Department of Biomedical Engineering, Linköping University, 581 85, Linköping Sweden.
Department of Clinical Pathology and Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping Sweden.
Department of Neurosurgery and Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping Sweden.
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2021 (English)In: Diffuse Optical Spectroscopy and Imaging VIII / [ed] Davide Contini; Yoko Hoshi; Thomas D. O'Sullivan, SPIE - International Society for Optical Engineering, 2021, article id 119201FConference paper, Published paper (Refereed)
Abstract [en]

We have applied a CNN to preprocess Raman spectra from fresh tissue samples from brain tumors. The neural network can handle the variations that occur naturally, which enables explorative data analysis methods such as PCA.
Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2021. article id 119201F
National Category
Other Medical Engineering
Research subject
Experimental Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-87552DOI: 10.1117/12.2615374ISI: 000797273400050Scopus ID: 2-s2.0-85122862318OAI: oai:DiVA.org:ltu-87552DiVA, id: diva2:1604185
Conference
European Conferences on Biomedical Optics (ECBO 2021), Munich, Germany [Virtual], June 20-24, 2021
Note

ISBN för värdpublikation:  9781510647060; 9781510647077

Available from: 2021-10-19 Created: 2021-10-19 Last updated: 2023-09-05Bibliographically approved

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Wahl, JoelRamser, Kerstin

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