Sökning: "3D image segmentation"
Visar resultat 11 - 15 av 53 avhandlingar innehållade orden 3D image segmentation.
11. Resource efficient automatic segmentation of medical images
Sammanfattning : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. LÄS MER
12. Evaluation of osseointegration using image analysis and visualization of 2D and 3D image data
Sammanfattning : Computerized image analysis, the discipline of using computers to automatically extract information from digital images, is a powerful tool for automating time consuming analysis tasks. In this thesis, image analysis and visualization methods are developed to facilitate the evaluation of osseointegration, i.e. LÄS MER
13. Learning Representations for Segmentation and Registration
Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER
14. Image Processing for Quantitative Scintillation-Camera Imaging. Application to Radionuclide Therapy
Sammanfattning : Individual-based determinations of the absorbed dose in radionuclide therapy largely rely on absolute measurement of the activity distribution and its redistribution over time. Scintillation-camera imaging is the most commonly employed measuring technique, applied in planar or SPECT mode, sometimes in combination with structural images from CT. LÄS MER
15. Image Analysis for Trabecular Bone Properties on Cone-Beam CT Data
Sammanfattning : Trabecular bone structure as well as bone mineral density (BMD) have impact on the biomechanical competence of bone. In osteoporosis-related fractures, there have been shown to exist disconnections in the trabecular network as well as low bone mineral density. Imaging of bone parameters is therefore of importance in detecting osteoporosis. LÄS MER