Essays about: "brain tumour"

Showing result 1 - 5 of 10 essays containing the words brain tumour.

  1. 1. 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

  2. 2. Deep morphological quantification and clustering of brain cancer cells using phase-contrast imaging

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Jonas Engberg; [2021]
    Keywords : Glioblastoma; UMAP; Heterogeneity; Clustering; Convolutional neural network; Siamese neural network;

    Abstract : 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. READ MORE

  3. 3. Psychosocial adjustment of children who have ended brain tumour treatment: child and parent reports

    University essay from Jönköping University/HLK, CHILD

    Author : Leire Cea; [2020]
    Keywords : ;

    Abstract : .... READ MORE

  4. 4. BRAIN TUMOUR DETECTION USING HOG BY SVM

    University essay from Blekinge Tekniska Högskola; Blekinge Tekniska Högskola

    Author : Praveena Pedapati; Rama Vaishnavi Tannedi; [2018]
    Keywords : Accuracy; Gradient; Histogram; Sensitivity; Specificity and True positive rate;

    Abstract : Detection of a brain tumour in medical images is always a challenging task. Factors like size, shape, and position of tumour vary from different patient’s brain. So, it's important to know the exact shape, size and position of a tumour in the brain making it a challenging task for detection. READ MORE

  5. 5. Automated Glioma Segmentation in MRI using Deep Convolutional Networks

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Dennis Sångberg; [2015]
    Keywords : deep; convolutional; networks; neural networks; image segmentation; brain tumour; glioma; MRI; BRATS;

    Abstract : Manual segmentation of brain tumours is a time consuming process, results often show high variability, and there is a call for automation in clinical practice. In this thesis the use of deep convolutional networks for automatic glioma segmentation in MRI is investigated. READ MORE