Sökning: "image quality"
Visar resultat 21 - 25 av 1632 avhandlingar innehållade orden image quality.
21. Automated Assessment of Blood Flow in the Cardiovascular System Using 4D Flow MRI
Sammanfattning : 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. LÄS MER
22. Advanced Machine Learning Methods for Oncological Image Analysis
Sammanfattning : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. LÄS MER
23. Quality of clinical laboratory services in Rwanda
Sammanfattning : Introduction: Poor quality health care is a serious silent public health problem worldwide, resulting in deaths, disabilities and long hospital stays with unnecessary costs. It affects patients in all countries regardless of their level of development. LÄS MER
24. A staff perspective on Lean maturity, well-being, and quality in primary care
Sammanfattning : Background: Lean is commonly implemented in healthcare but it is unclear how much of Lean is adopted and whether Lean is associated with staff’s well-being and quality of care.Aim: To describe staff perception of Lean maturity in primary care, and to determine to what extent staff-rated Lean maturity is associated with staff rated thriving, exhaustion, and musculoskeletal complaints, as well as staff rated quality of care. LÄS MER
25. Methods for Processing and Analysis of Biomedical TEM Images
Sammanfattning : Transmission Electron Microscopy (TEM) has the high resolving capability and high clinical significance; however, the current manual diagnostic procedure using TEM is complicated and time-consuming, requiring rarely available expertise for analyzing TEM images of the biological specimen. This thesis addresses the bottlenecks of TEM-based analysis by proposing image analysis methods to automate and improve critical time-consuming steps of currently manual diagnostic procedures. LÄS MER