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Showing result 16 - 20 of 27 essays matching the above criteria.

  1. 16. Prioritization of Informative Regions in PET Scans for Classification of Alzheimer's Disease

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fredrik Mårtensson; Erik Westberg; [2021]
    Keywords : ;

    Abstract : Alzheimer’s Disease (AD) is a widespread neurodegenerative disease. The disease causes brain atrophy, resulting in memory loss, decreased cognitive ability, and eventually death. There is currently no cure for the disease, but treatment may delay the onset. Therefore, it is crucial to detect the disease at an early stage. READ MORE

  3. 17. Design of 3D-printed cranioplasty moulds using Neural Network

    University essay from Lunds universitet/Matematik LTH

    Author : Jonathan Andersson; [2020]
    Keywords : Cranioplasty; Neural Network; Convolutional Neural Network; autoencoder; 3D printing; data reconstruction; Technology and Engineering; Medicine and Health Sciences; Mathematics and Statistics;

    Abstract : Cranioplasty is surgical repair of a skull bone defect due to a previous surgery or injury. Cranioplasty is most often performed with autologous bone flap, i.e the patient's own saved bone from previous surgery if this is available. READ MORE

  4. 18. Evaluation of two CNN models, VGGNet-16 & VGGNet-19, for classification of Alzheimer’s disease in brain MRI scans

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

    Author : Tim Jonsson; Isabella Tapper; [2020]
    Keywords : ;

    Abstract : Computer-aided-diagnosis (CAD) emerged in the early 1950s and since then CAD has facilitated the diagnosing of many medical conditions and diseases. In particular, CADfor Alzheimer’s disease (AD) has been immensely researched the last decade thanks to advanced neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET). READ MORE

  5. 19. Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Miroslav Ivanov Yosifov; [2020]
    Keywords : ;

    Abstract : This master’s thesis shows the extraction, quantification and visual analysis of pores and individual fibres in fibre reinforced polymer (FRP)materials. The core methods used and advanced for this purpose are tailored deep learning techniques, which are coupled with interactive visualisation. READ MORE

  6. 20. Automated bone segmentation in computed tomography using deep learning with distance maps

    University essay from Lunds universitet/Matematik LTH

    Author : Julius Åkesson; [2020]
    Keywords : deep learning; distance maps; Mathematics and Statistics;

    Abstract : 3D-models of bone structures from computed tomography (CT) data can be used for surgical planning, education and a wide range of other purposes. They can also be used in both digital and 3D-printed format. The currently used process to obtain such models consists of a combination of thresholding, morphological operations and manual adjustments. READ MORE