Deep learning a boon for biophotonics

dc.bibliographicCitation.firstPagee201960186eng
dc.bibliographicCitation.issue6eng
dc.bibliographicCitation.volume13eng
dc.contributor.authorPradhan, Pranita
dc.contributor.authorGuo, Shuxia
dc.contributor.authorRyabchykov, Oleg
dc.contributor.authorPopp, Juergen
dc.contributor.authorBocklitz, Thomas W.
dc.date.accessioned2021-11-08T06:42:40Z
dc.date.available2021-11-08T06:42:40Z
dc.date.issued2020
dc.description.abstractThis review covers original articles using deep learning in the biophotonic field published in the last years. In these years deep learning, which is a subset of machine learning mostly based on artificial neural network geometries, was applied to a number of biophotonic tasks and has achieved state-of-the-art performances. Therefore, deep learning in the biophotonic field is rapidly growing and it will be utilized in the next years to obtain real-time biophotonic decision-making systems and to analyze biophotonic data in general. In this contribution, we discuss the possibilities of deep learning in the biophotonic field including image classification, segmentation, registration, pseudostaining and resolution enhancement. Additionally, we discuss the potential use of deep learning for spectroscopic data including spectral data preprocessing and spectral classification. We conclude this review by addressing the potential applications and challenges of using deep learning for biophotonic data. © 2020 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheimeng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/7194
dc.identifier.urihttps://doi.org/10.34657/6241
dc.language.isoengeng
dc.publisherWeinheim : Wiley-VCH-Verl.eng
dc.relation.doihttps://doi.org/10.1002/jbio.201960186
dc.relation.essn1864-0648
dc.relation.ispartofseriesJournal of biophotonics 13 (2020), Nr. 6eng
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subjectartificial neural networkseng
dc.subjectbiophotonicseng
dc.subjectdeep learningeng
dc.subjectspectroscopyeng
dc.subject.ddc570eng
dc.subject.ddc610eng
dc.titleDeep learning a boon for biophotonicseng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleJournal of biophotonicseng
tib.accessRightsopenAccesseng
wgl.contributorIPHTeng
wgl.subjectBiowissensschaften/Biologieeng
wgl.typeZeitschriftenartikeleng
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