Search for dissertations about: "deep learning medical imaging"
Showing result 1 - 5 of 35 swedish dissertations containing the words deep learning medical imaging.
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1. Resource efficient automatic segmentation of medical images
Abstract : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. READ MORE
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2. Contributions to deep learning for imaging in radiotherapy
Abstract : Purpose: The increasing importance of medical imaging in cancer treatment, combined with the growing popularity of deep learning gave relevance to the presented contributions to deep learning solutions with applications in medical imaging.Relevance: The projects aim to improve the efficiency of MRI for automated tasks related to radiotherapy, building on recent advancements in the field of deep learning. READ MORE
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3. Water–fat separation in magnetic resonance imaging and its application in studies of brown adipose tissue
Abstract : Virtually all the magnetic resonance imaging (MRI) signal of a human originates from water and fat molecules. By utilizing the property chemical shift the signal can be separated, creating water- and fat-only images. READ MORE
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4. Methods for the analysis and characterization of brain morphology from MRI images
Abstract : Brain magnetic resonance imaging (MRI) is an imaging modality that produces detailed images of the brain without using any ionizing radiation. From a structural MRI scan, it is possible to extract morphological properties of different brain regions, such as their volume and shape. READ MORE
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5. Deep Regression and Segmentation for Medical Inference from Large-Scale Magnetic Resonance Imaging
Abstract : Large-scale studies, such as UK Biobank, acquire medical imaging data for thousands of participants. With magnetic resonance imaging (MRI), comprehensive representations of human anatomy can be provided for non-invasive assessments of health-related conditions, body composition, organ volumes, and more. READ MORE