Search for dissertations about: "Computerized Image Processing"
Showing result 1 - 5 of 62 swedish dissertations containing the words Computerized Image Processing.
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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. 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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3. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis
Abstract : Viruses and their morphology have been detected and studied with electron microscopy (EM) since the end of the 1930s. The technique has been vital for the discovery of new viruses and in establishing the virus taxonomy. Today, electron microscopy is an important technique in clinical diagnostics. READ MORE
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4. Computerized Cell and Tissue Analysis
Abstract : The latest advances in digital cameras combined with powerful computer software enable us to store high-quality microscopy images of specimen. Studying hundreds of images manually is very time consuming and has the problem of human subjectivity and inconsistency. READ MORE
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5. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening
Abstract : Cervical cancer is a disease that annually claims the lives of over a quarter of a million women. A substantial number of these deaths could be prevented if population wide cancer screening, based on the Papanicolaou test, were globally available. The Papanicolaou test involves a visual review of cellular material obtained from the uterine cervix. READ MORE