Sökning: "GBM"
Visar resultat 11 - 15 av 34 uppsatser innehållade ordet GBM.
11. Deep morphological quantification and clustering of brain cancer cells using phase-contrast imaging
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktionSammanfattning : Glioblastoma Multiforme (GBM) is a very aggressive brain tumour. Previous studies have suggested that the morphological distribution of single GBM cells may hold information about the severity. This study aims to find if there is a potential for automated morphological qualification and clustering of GBM cells and what it shows. LÄS MER
12. Effect of Ion Channels on Intracellular Localization of REV-ERBα in Glioma-Initiating Cells
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The number of children and young adolescents diagnosed with cancer is increasing, leading to a need for new therapeutic strategies with diminished neurodegenerative side- effects. This report presents preliminary observations on glioma-initiating cells (GICs) in the way to develop a strategy that induces cell-cycle arrest or quiescence in neural stem cells (NSCs). LÄS MER
13. Differences in tumor volume for treated glioblastoma patients examined with 18F-fluorothymidine PET and contrast-enhanced MRI
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Background: Glioblastoma (GBM) is the most common and malignant primary brain tumor. It is a rapidly progressing tumor that infiltrates the adjacent healthy brain tissue and is difficult to treat. Despite modern treatment including surgical resection followed by radiochemotherapy and adjuvant chemotherapy, the outcome remains poor. LÄS MER
14. Predicting Risk of Delays in Postal Deliveries with Neural Networks and Gradient Boosting Machines
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis conducts a study on a data set from the Swedish and Danish postal service Postnord, comparing an artificial neural network (ANN) and a gradient boosting machine (GBM) for predicting delays in package deliveries. The models are evaluated based on F1-score for the important class which represents the data points that are delayed and needed to be identified. LÄS MER
15. Machine Learning and Telematics for Risk Assessment in Auto Insurance
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Pricing models for car insurance traditionally use variables related to the policyholder and the insured vehicle (e.g. car brand and driver age) to determine the premium. LÄS MER