Sökning: "brain tumor"

Visar resultat 16 - 20 av 74 uppsatser innehållade orden brain tumor.

  1. 16. Design och syntes av potentiella inhibitorer för galektin-1

    Kandidat-uppsats, Lunds universitet/Kemiska institutionen

    Författare :Victoria Ullbin; [2022]
    Nyckelord :galektin-1; inhibitor; galektin; cancer; organic chemistry; Chemistry;

    Sammanfattning : Galectin-1 is a member of the carbohydrate-binding protein family galectins. Galectins are involved in the immune system. However, in cancer growth, galectin-1 is overproduced to not make the immune system respond. Therefore, inhibitors of the protein were synthesized to make the immune system approach the cancer and respond. LÄS MER

  3. 17. Synthesis of Pediatric Brain Tumor Image With Mass Effect

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Yu Zhou; [2022]
    Nyckelord :Deep learning; Medical Imaging; Data Augmentation; Children Brain Tumor; Mass effect;

    Sammanfattning : During the last few years, deep learning-based techniques have made much progress in the medical image processing field, such as segmentation and registration. The main characteristic of these methods is the large demand of medical images to do model training. LÄS MER

  4. 18. Brain Tumor Grade Classification in MR images using Deep Learning

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Eleftheria Chatzitheodoridou; [2022]
    Nyckelord :brain tumor; glioma; magnetic resonance imaging; deep learning; brain tumor grade classification; convolutional neural network; transfer learning; explainability; multi-class classification;

    Sammanfattning : Brain tumors represent a diverse spectrum of cancer types which can induce grave complications and lead to poor life expectancy. Amongst the various brain tumor types, gliomas are primary brain tumors that compose about 30% of adult brain tumors. LÄS MER

  5. 19. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Hanna Westermark; [2021]
    Nyckelord :Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Sammanfattning : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. LÄS MER

  7. 20. Characterizing the immunogenic cell death induced by Semliki Forest Virus in glioblastoma cell lines

    Master-uppsats, Uppsala universitet/Institutionen för immunologi, genetik och patologi; Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Aishwarya Sivaramakrishnan; [2021]
    Nyckelord :Glioblastoma; Immunogenic Cell Death; Oncolytic Viruses; Semliki Forest Virus; Aishwarya Sivaramakrishnan;

    Sammanfattning : Glioblastoma is the most common primary brain tumor in humans and has a poor prognosis. Current therapies are not curative. Oncolytic viruses (OVs) are being investigated as tools to induce immunogenic cell death (ICD), cell death capable of activating the immune system. LÄS MER