Search for dissertations about: "Image Based"
Showing result 1 - 5 of 5025 swedish dissertations containing the words Image Based.
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1. Representation Learning and Information Fusion : Applications in Biomedical Image Processing
Abstract : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. READ MORE
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2. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors
Abstract : The number of medical images that clinicians need to review on a daily basis has increased dramatically during the last decades. Since the number of clinicians has not increased as much, it is necessary to develop tools which can help doctors to work more efficiently. READ MORE
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3. Image Processing and Analysis Methods for Biomedical Applications
Abstract : With new technologies and developments medical images can be acquired more quickly and at a larger scale than ever before. However, increased amount of data induces an overhead in the human labour needed for its inspection and analysis. READ MORE
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4. Image Filtering Methods for Biomedical Applications
Abstract : Filtering is a key step in digital image processing and analysis. It is mainly used for amplification or attenuation of some frequencies depending on the nature of the application. Filtering can either be performed in the spatial domain or in a transformed domain. READ MORE
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5. Methods for Reliable Image Registration : Algorithms, Distance Measures, and Representations
Abstract : Much biomedical and medical research relies on the collection of ever-larger amounts of image data (both 2D images and 3D volumes, as well as time-series) and increasingly from multiple sources. Image registration, the process of finding correspondences between images based on the affinity of features of interest, is often required as a vital step towards the final analysis, which may consist of a comparison of images, measurement of movement, or fusion of complementary information. READ MORE