Essays about: "brain tumour"

Showing result 1 - 5 of 14 essays containing the words brain tumour.

  1. 1. Computational prediction of cell-cell interactions in the brain-tumour microenvironment

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Paula Camargo Romera; [2023]
    Keywords : Cancer; Glioblastoma; Computational Biology; Bioinformatics; Microenvironment; Brain tumour; Interactions; Systems Biology;

    Abstract : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. READ MORE

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

    University essay from Linköpings universitet/Statistik och maskininlärning

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

    Abstract : 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. READ MORE

  4. 3. Polymer gel dosimetry with MRI-readout for 3D dose verification - detector characteristics and clinical applications

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Thi Guldhill; [2023]
    Keywords : Medicine and Health Sciences;

    Abstract : Background & Purpose: Radiation therapy is an essential treatment for cancer patients with the ultimate goal to deliver radiation doses to the tumour with precision while minimizing exposure to surrounding healthy tissues. Treatment verification is crucial to ensure the accuracy of radiation delivery, for instance by measuring the radiation dose distribution. READ MORE

  5. 4. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ebba Bråtman; Lucas Dow; [2023]
    Keywords : ;

    Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE

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

    University essay from KTH/Optimeringslära och systemteori

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

    Abstract : 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. READ MORE