|
|
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
|
|
|
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
|
|
|
Raccoon polyomavirus: example or exception of polyomavirus driven oncogenesis?
Schreiberová, Lucie ; Španielová, Hana (advisor) ; Hirsch, Ivan (referee)
Polyomaviruses (PyV) are widespread through human and animal populations and typically associated with asymptomatic persistent infection. Rarely, natural PyV infections can lead to oncogenic transformation. Virus genome is usually integrated into the host DNA of tumour tissue. Over the past few years, an increased number of very aggressive brain tumours and olfactory tumours have been observed in raccoons. These tumours are associated with the newly discovered raccoon polyomavirus, which was found as an intact episome in host cells. This bachelor thesis is therefore focused on comparison of current state of knowledge on raccoon polyomavirus with previously described mechanisms of PyV tumorogenesis. Unlike for other PyVs, the fact that primary neuronal stem cell infection is most likely to occur can play a key role in raccoon polyomavirus driven oncogenesis. Tumours also exhibit unusually high expression of virus-encoded micro RNA that can be connected with tumour induction. Similary to other tumours caused by PyV, a large amount of early viral proteins with oncogenic potential is found in tumours. Revealing unknown factors responsible for the development of tumours caused by raccoon polyomavirus may help in understanding of mechanisms of oncogenesis. Key words Polyomavirus, oncogenesis, raccoon...
|
guest ::
