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Classification of glioma grading in brain MRI
Olešová, Kristína ; Mézl, Martin (referee) ; Chmelík, Jiří (advisor)
This thesis deals with a classification of glioma grade in high and low aggressive tumours and overall survival prediction based on magnetic resonance imaging. Data used in this work is from BRATS challenge 2019 and each set contains information from 4 weighting sequences of MRI. Thesis is implemented in PYTHON programming language and Jupyter Notebooks environment. Software PyRadiomics is used for calculation of image features. Goal of this work is to determine best tumour region and weighting sequence for calculation of image features and consequently select set of features that are the best ones for classification of tumour grade and survival prediction. Part of thesis is dedicated to survival prediction using set of statistical tests, specifically Cox regression
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Social mobility of elites in the second half of the 19th century
Vlasák, Filip ; Velková, Alice (advisor) ; Klečacký, Martin (referee)
Social mobility of elites in the second half of the 19th century Abstract This thesis deals with the social mobility of senior civil servants in a very dynamic period in terms of the development of political administration in the lands of the Bohemian Crown, namely in the second half of the 19th and the beginning of the 20th century. The aim of the thesis is to analyse and describe the change in the structure of civil servants according to their social origin, to statistically determine the significant factors that influenced the age of a civil servant when he or she first took up the post of district captain and to determine whether this age was prolonged during the period under study. The analysis was conducted using data from the EXPRO 2020 research database. The results show that officials with influential social backgrounds were almost twice as likely to become district governors at a younger age than officials from lower social class backgrounds. The main results of the paper are formulated in the conclusion, which in addition to the above, discusses what effect marrying a wife from an influential background had on an official's social mobility, or how long it took an official to climb the career ladder to become a district captain after successfully graduating from university, and what factors may...
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Classification of glioma grading in brain MRI
Olešová, Kristína ; Mézl, Martin (referee) ; Chmelík, Jiří (advisor)
This thesis deals with a classification of glioma grade in high and low aggressive tumours and overall survival prediction based on magnetic resonance imaging. Data used in this work is from BRATS challenge 2019 and each set contains information from 4 weighting sequences of MRI. Thesis is implemented in PYTHON programming language and Jupyter Notebooks environment. Software PyRadiomics is used for calculation of image features. Goal of this work is to determine best tumour region and weighting sequence for calculation of image features and consequently select set of features that are the best ones for classification of tumour grade and survival prediction. Part of thesis is dedicated to survival prediction using set of statistical tests, specifically Cox regression
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