Search for dissertations about: "image segmentation"
Showing result 11 - 15 of 208 swedish dissertations containing the words image segmentation.
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11. Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications
Abstract : Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of the skeleton. Computerized image processing and analysis methods, combined with real-time volume visualization techniques, can greatly facilitate the interpretation of such images and are increasingly used in surgical planning to aid reconstruction of the skeleton after trauma or disease. READ MORE
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12. Combining Shape and Learning for Medical Image Analysis
Abstract : Automatic methods with the ability to make accurate, fast and robust assessments of medical images are highly requested in medical research and clinical care. Excellent automatic algorithms are characterized by speed, allowing for scalability, and an accuracy comparable to an expert radiologist. READ MORE
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13. Automated Assessment of Blood Flow in the Cardiovascular System Using 4D Flow MRI
Abstract : Medical image analysis focuses on the extraction of meaningful information from medical images in order to facilitate clinical assessment, diagnostics and treatment. Image processing techniques have gradually become an essential part of the modern health care system, a consequence of the continuous technological improvements and the availability of a variety of medical imaging techniques. READ MORE
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14. Image and Data Analysis for Biomedical Quantitative Microscopy
Abstract : This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-based research and diagnosis. New technologies and computational tools are necessary for handling the ever-growing amounts of data produced in life science. READ MORE
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15. A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement
Abstract : 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. READ MORE