Sökning: "radiologists"

Visar resultat 1 - 5 av 67 uppsatser innehållade ordet radiologists.

  1. 1. Optic nerve sheath diameter semantic segmentation and feature extraction

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Simone Bonato; [2023]
    Nyckelord :Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

    Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER

  3. 2. Taligenkänningseffekt på Klinisk Dokumentationskvalitet

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Madelena McClure; [2023]
    Nyckelord :clinical documentation; speech recognition; documentation quality;

    Sammanfattning : Health care providers report several stressors related to the use of electronic healthrecord (EHR) systems to complete clinical documentation. These stressors include frustrations resulting from time-consuming and cumbersome interaction with the EHR. Speech recognition(SR) has been suggested as a way to help reduce this stress. LÄS MER

  4. 3. Segmentation of x-ray images using deep learning trained on synthetic data

    Master-uppsats, KTH/Fysik

    Författare :Marcus Larsson; [2023]
    Nyckelord :Radiography; Deep Learning; Synthetic Data; Segmentation; Röntgen; Djupinlärning; Syntetisk Data; Segmentering;

    Sammanfattning : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. LÄS MER

  5. 4. Risks and Risk Mitigation Strategies Related to AI in Medical Imaging : A Qualitative Case Study of Implementing AI in Screening Mammography

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Annika Gerigoorian; Maha Kloub; [2023]
    Nyckelord :Artificial Intelligence; AI Implementation; Enterprise Risk Management; Mammography; Medical Imaging; Artificiell Intelligens; AI Implementering; Enterprise Risk Management; Mammografi; Bild- och funktionsmedicin;

    Sammanfattning : AI in medical imaging is promising. Breast cancer screening has particularly seen advancements as researchers have demonstrated how commercially available AI algorithms could detect breast cancer at the same level as the best radiologists. LÄS MER

  7. 5. Machine learning for automatic grading of knee osteoarthritis from X-ray radiographs

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Ellen Siggstedt; [2023]
    Nyckelord :machine learning; knee osteoarthritis; image analysis; deep learning; X-ray; neural networks;

    Sammanfattning : Knee osteoarthritis is a growing problem due to increasing risk factors such as age and obesity. It is a common task for a radiologist to grade osteoarthritis in three compartments (medial tibiofemoral (MTF), lateral tibiofemoral (LTF) and patellofemoral (PF)) in a knee from different image views of X-ray images, to decide if osteoarthritis is the cause of pain for the patient. LÄS MER