Assessment of surgical margins of basal cell carcinoma with Raman microspectroscopy measurements

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dc.contributor.advisorKuljus, Kristi, juhendaja
dc.contributor.advisorKoloydenko, Alexey, juhendaja
dc.contributor.authorViigand, Siim
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Matemaatika ja statistika instituutet
dc.date.accessioned2024-06-28T12:35:54Z
dc.date.available2024-06-28T12:35:54Z
dc.date.issued2024
dc.description.abstractThe aim of the master’s thesis is to study and set reference results for assessment of residual tumor margins of basal cell carcinoma. The analysis is based on Raman microspectroscopy measurements of tissue samples extracted during Mohs surgery. Logistic regression, linear discriminant analysis and quadratic discriminant analysis are used to develop classification rules, several set-ups of spectral feature variables are considered. The best classification result is achieved with the logistic regression model with 30 original spectral features. The best model is validated on a test set of extracted tissue samples. Concerns regarding the data can be taken into account and the obtained reference results can be used in future analyses, when models of higher complexity could be studied for classification.en
dc.identifier.urihttps://hdl.handle.net/10062/100425
dc.language.isoen
dc.publisherTartu Ülikoolet
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estoniaen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/
dc.subjectbasal cell carcinomaen
dc.subjectRaman spectroscopyen
dc.subjectclassificationen
dc.subjectlogistic regressionen
dc.subjectdiscriminant analysisen
dc.subjectbasalioomet
dc.subjectRamani spektroskoopiaet
dc.subjectklassifitseerimineet
dc.subjectlogistiline regressioonet
dc.subjectdiskriminantanalüüset
dc.subject.othermagistritöödet
dc.subject.othervõrguväljaandedet
dc.titleAssessment of surgical margins of basal cell carcinoma with Raman microspectroscopy measurementsen
dc.typeThesis

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