Search for dissertations about: "x-ray machine learning"

Showing result 1 - 5 of 13 swedish dissertations containing the words x-ray machine learning.

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

   Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

4. 2. X-ray microcomputed tomography (µCT) as a potential tool in Geometallurgy

   Author : Pratama Istiadi Guntoro; Yousef Ghorbani; Jan Rosenkranz; Matthew Pankhurst; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; X-ray microcomputed tomography; geometallurgy; automated mineralogy; ore characterization; Mineral Processing; Mineralteknik;

   Abstract : In recent years, automated mineralogy has become an essential tool in geometallurgy. Automated mineralogical tools allow the acquisition of mineralogical and liberation data of ore particles in a sample. These particle data can then be used further for particle-based mineral processing simulation in the context of geometallurgy. READ MORE

5. 3. X-ray microcomputed tomography (µCT) as a potential tool in particle-based geometallurgy

   Author : Pratama Istiadi Guntoro; Yousef Ghorbani; Jan Rosenkranz; Veerle Cnudde; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; X-ray microcomputed tomography; Mineralogy; Texture; Liberation; Geometallurgy; Mineral Processing; Mineralteknik;

   Abstract : In recent years, automated mineralogy has become an essential tool in geometallurgy. Automated mineralogical tools allows the acquisition of mineralogical, textural, and liberation information of ore samples. Such information is essential in the context of geometallurgy where it is needed for estimating the process response of the ores. READ MORE

6. 4. Towards Fast and Robust Algorithms in Flash X-ray single-particle Imaging

   Author : Jing Liu; Stefan Engblom; Filipe Maia; Janos Hajdu; Helmut Grubmüller; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; X-ray Free Electron lasers XFELs ; 3D electron density determination; Machine learning; Image processing; High-performance computing; GPUs; Uncertainty quantification; X-ray single-particle Imaging; Flash X-ray single-particle diffraction Imaging FXI ; ; Physics with specialization in Biophysics; Fysik med inriktning mot biofysik;

   Abstract : Modern X-ray Free Electron Laser (XFEL) technology provides the possibility to acquire a large number of diffraction patterns from individual biological nano-particles, including proteins, viruses, and DNA. Ideally, the collected data frames are high-quality single-particle diffraction patterns. READ MORE

7. 5. Machine Learning for Appearance Grading of Sawn Timber using Cameras and X-ray Computed Tomography

   Author : Linus Olofsson; Dick Sandberg; Olof Broman; Magnus Fredriksson; Johan Skog; Erkki Verkasalo; Luleå tekniska universitet; []
   Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Träteknik; Wood Science and Engineering;

   Abstract : This doctoral thesis deals with a new approach for the appearance grading of sawn timber adapted to the requirements of modern sawmilling industries and timber market situations. Appearance grading of sawn timber allows wood products to be made with a specific visual style due to wood features such as knots. READ MORE