Sökning: "field diagnostics"

Visar resultat 1 - 5 av 79 uppsatser innehållade orden field diagnostics.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  3. 2. Simulating metal ct artefacts for ground truth generation in deep learning.

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Arthur Barakat; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

  4. 3. Generation of a new ADAPT library for stability improvement

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Sumant Yogesh Salphale; [2023]
    Nyckelord :Phage display; CEACAM5; EpCAM; Trop2; ADAPT; ABD; protein engineering; cancer detection; Fag-display; CEACAM5; EpCAM; Trop2; ADAPT; ABD; proteinteknik; cancerdetektion;

    Sammanfattning : Under senare år har målinriktad terapi varit ett växande område inom cancerterapi som en mer målinriktad behandling än kemoterapi. Dessa behandlingar baseras främst på antikroppsbaserade läkemedel som är ganska stora och komplexa, vilket ökar den totala kostnaden för behandlingen. LÄS MER

  5. 4. Detection and quantification of post-translational modifications in non-invasive samples : Phosphoproteins as biomarkers and a market analysis of protein quantification technologies

    Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Sammi Baudin; Hillevi Fjellström; Aron Kraft; Erica Lamberg; Måns Rosenbaum; Hanna Sjöstrand; [2023]
    Nyckelord :Phorphorylation; Proteomics; Biomarkers; Phosphoproteins; PTM; Amyotrophic lateral sclerosis; ALS; Alzheimer s disease; Parkinson s disease; Cancer; xMAP; SIMOA; NULISA; PEA; ELISA; Mass spectrometry; SomaScan;

    Sammanfattning : Post-translational modifications (PTMs) of proteins can be a sign and/or cause of disease. These modified proteins have the potential to be used as biomarkers for diagnostic purposes. However, research in the field is limited. LÄS MER

  7. 5. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

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

    Författare :Thomas Eriksson Mueller; Viktor Fornstad; [2023]
    Nyckelord :Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

    Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER