Sökning: "Cover image"
Visar resultat 1 - 5 av 1820 avhandlingar innehållade orden Cover image.
1. 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
2. A Global Linear Optimization Framework for Adaptive Filtering and Image Registration
Sammanfattning : Digital medical atlases can contain anatomical information which is valuable for medical doctors in diagnosing and treating illnesses. The increased availability of such atlases has created an interest for computer algorithms which are capable of integrating such atlas information into patient specific dataprocessing. LÄS MER
3. A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement
Sammanfattning : Filtering is a fundamental operation in image science in general and in medical image science in particular. The most central applications are image enhancement, registration, segmentation and feature extraction. LÄS MER
4. Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing
Sammanfattning : Medical imaging plays an increasingly important role in modern healthcare. In medical imaging, it is often relevant to relate different images to each other, something which can prove challenging, since there rarely exists a pre-defined mapping between the pixels in different images. LÄS MER
5. Segmentation Methods for Medical Image Analysis : Blood vessels, multi-scale filtering and level set methods
Sammanfattning : Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g. face recognition, tracking of moving cars and people etc, it is of general interest to design robust and fast segmentation algorithms. LÄS MER