Sökning: "image visualization"

Visar resultat 21 - 25 av 188 avhandlingar innehållade orden image visualization.

1. 21. Efficient GPU-based Image Registration : for Detailed Large-Scale Whole-body Analysis

   Författare :Simon Ekström; Robin Strand; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Fred Hamprecht; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Magnetic resonance imaging; Image registration; whole-body; Radiology; Radiologi;

   Sammanfattning : Imaging has become an important aspect of medicine, enabling visualization of internals in a non-invasive manner. The rapid advancement and adoption of imaging techniques have led to a demand for tools able to take advantage of the information that is produced. LÄS MER

3. 22. Web Applications for Large-Scale Decision Support : Preference Elicitation, Modeling and Visualization

   Författare :Samuel Bohman; Aron Larsson; Bo Sundgren; Majlender Peter; Göran Cars; Øystein Sæbø; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; World Wide Web; Decision Support Systems; Data Visualization; Man-Machine-Interaction MMI ; människa-maskin-interaktion MMI ;

   Sammanfattning : This thesis addresses the lack of effective and efficient technology design in current e-participation research by investigating two approaches that yet have not been explored to any great extent in the literature: decision science and data visualization. It is concerned with the problem of how to combine techniques from these two fields to achieve decision support in the context of e-participation; from preference elicitation and modeling to data analysis, visualization and final recommendations, such that it can provide value to practitioners. LÄS MER

4. 23. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

   Författare :Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. LÄS MER

5. 24. Automated Assessment of Blood Flow in the Cardiovascular System Using 4D Flow MRI

   Författare :Mariana Bustamante; Tino Ebbers; Carljohan Carlhäll; Petter Dyverfeldt; Michael Markl; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MRI; 4D Flow MRI; Image Analysis; Segmentation;

   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

7. 25. Group-Theoretical Structure in Multispectral Color and Image Databases

   Författare :Thanh Hai Bui; Reiner Lenz; Björn Kruse; Jinhui Chao; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; group theory; PCA Principal Component Analysis ; CBIR; Content-based Image Retrieval ; filter; color; image; multispectral; database; Signal processing; Signalbehandling;

   Sammanfattning : Many applications lead to signals with nonnegative function values. Understanding the structure of the spaces of nonnegative signals is therefore of interest in many different areas. Hence, constructing effective representation spaces with suitable metrics and natural transformations is an important research topic. LÄS MER