Title Detecting cancerous tissue in magnetic resonance images by functional data analysis: a case study /
Translation of Title Vėžinio audinio aptikimas magnetinio rezonanso vaizduose atliekant funkcinių duomenų analizę: atvejo tyrimas.
Authors Püls, Sabine
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Pages 35
Keywords [eng] Functional Data Analysis, Prostate Cancer, MRI, Functional t-Test, Functional ANOVA
Abstract [eng] In this work we demonstrate how to preprocess MRI data of prostate cancer to get discrete time series. This series are smoothed into functional data by B-splie smoothing and differences are detected between functions for malign tissue and functions for healthy tissue. Classification of the tissues follows biopsy results. By a functional t-test we identify an intervall with statistically significant difference between both groups of functions.
Dissertation Institution Vilniaus universitetas.
Type Master thesis
Language English
Publication date 2023