Sökning: "GBM"

Visar resultat 1 - 5 av 34 uppsatser innehållade ordet GBM.

  1. 1. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Raziyeh Mohseni; [2023]
    Nyckelord :;

    Sammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER

  3. 2. Prediction Models for TV Case Resolution Times with Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Borja Javierre I Moyano; [2023]
    Nyckelord :Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Sammanfattning : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. LÄS MER

  4. 3. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Christoforos Spyretos; [2023]
    Nyckelord :medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

    Sammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER

  5. 4. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ann Abeysekera; Elina Tayebi; [2023]
    Nyckelord :;

    Sammanfattning : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. LÄS MER

  7. 5. Characterization of the immunomicroenvironment of glioblastoma : Optimization of an antibody panel for detection of glioblastoma TME cells and effect of C3 on glioma cells.

    Kandidat-uppsats, Malmö universitet/Fakulteten för hälsa och samhälle (HS)

    Författare :Julia Wahldén; [2023]
    Nyckelord :Brain; cancer; glioblastoma; immune cells; immunofluorescence; tumor microenvironment; Cancer; glioblastom; immunceller; immunofluorescens; hjärnan; tumörmikromiljö;

    Sammanfattning : Glioblastoma (GBM) is the most common primary brain tumor in adults and represents one of the most aggressive tumor types. Despite treatment GBM remains incurable and when treated the tumor recurs more aggressive and treatment resistant than before. LÄS MER