Search for dissertations about: "chest x ray"

Showing result 1 - 5 of 26 swedish dissertations containing the words chest x ray.

  2. 1. Chest wall sarcomas

    Author : Björn Widhe; Karolinska Institutet; Karolinska Institutet; []
    Keywords : ;

    Abstract : Aim: To evaluate initial symptoms and clinical features, diagnosis and delay in osteosarcoma (OS), Ewing sarcoma (EWS) and chest wall chondrosarcoma (CS). To assess treatment and identify prognostic factors in chest wall CS. READ MORE

  4. 2. Development of methods for evaluation and optimization of chest tomosynthesis

    Author : Angelica Svalkvist; Göteborgs universitet; []
    Keywords : Chest tomosynthesis; Evaluation; Optimization; Simulation; Image Quality; Dosimetry; Dose reduction; Nodule simulation; Validation;

    Abstract : Tomosynthesis is a low-dose technique that has attracted increasing interest from the medical imaging community during the past decade. Tomosynthesis refers to the technique of acquiring a number of projection radiographs using extremely low exposure over a limited angular range, and using these radiographs to reconstruct slices of the imaged object. READ MORE

  5. 3. 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

  6. 4. Diagnosing pneumonia in primary care : Aspects of the value of clinical and laboratory findings and the use of chest X-ray

    Author : Anna Moberg; Magnus Falk; Jakob Paues; Sven Göran Fransson; Ronny Gunnarsson; Linköpings universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

    Abstract : It is important to identify patients with pneumonia because it is potentially a serious disease, often of bacterial origin, that should be treated with antibiotics. It is equally important to identify those with acute bronchitis, a self-limiting disease, that should not be treated with antibiotics. READ MORE

  7. 5. Quantifying the quality of medical x-ray images. An evaluation based on normal anatomy for lumbar spine and chest radiography

    Author : Anders Tingberg; Malmö Medicinsk strålningsfysik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Clinical physics; normal anatomy; free response forced error FFE ; receiver operating characteristics ROC ; visual grading analysis VGA ; European image criteria; quantifying clinical image quality; radiology; tomography; medical instrumentation; Klinisk fysiologi; radiologi; tomografi; medicinsk instrumentering;

    Abstract : Optimisation in diagnostic radiology requires accurate methods for determination of patient absorbed dose and clinical image quality. Simple methods for evaluation of clinical image quality are at present scarce and this project aims at developing such methods. READ MORE