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Visar resultat 1 - 5 av 1060 avhandlingar som matchar ovanstående sökkriterier.
1. Representation Learning and Information Fusion : Applications in Biomedical Image Processing
Sammanfattning : 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. LÄS MER
2. Image Processing and Analysis Methods for Biomedical Applications
Sammanfattning : 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. LÄS MER
3. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis
Sammanfattning : 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. LÄS MER
4. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening
Sammanfattning : 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. LÄS MER
5. Spectral Image Processing with Applications in Biotechnology and Pathology
Sammanfattning : Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decades after the first microscope was built. But it was not until the twentieth century that technological advances led to the integration of color theory, optical spectroscopy and light microscopy through spectral image processing. LÄS MER