Sökning: "Mammograms"

Visar resultat 1 - 5 av 16 uppsatser innehållade ordet Mammograms.

  1. 1. 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

  3. 2. Deep Learning Models for Detecting Breast Cancer : A Comparative Study

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

    Författare :Charlotta Johnsson; Alva Välimäki; [2023]
    Nyckelord :;

    Sammanfattning : Breast cancer is the second leading cause of death for women worldwide. As early detection is vital, new methods for facilitating accurate diagnosis are continuously being developed. LÄS MER

  4. 3. Evaluating CNN Architectures on the CSAW-M Dataset

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Ludwig Kristoffersson; Noa Zetterman; [2022]
    Nyckelord :CNN; Convolutional Neural Network; Transfer Learning; Breast Cancer; Bachelor’s Thesis; CNN; Konvolutionella Neurala Nätverk; Transfer Learning; Bröstcancer; Kandidat examensarbete;

    Sammanfattning : CSAW-M is a dataset that contains about 10 000 x-ray images created from mammograms. Mammograms are used to identify patients with breast cancer through a screening process with the goal of catching cancer tumours early. LÄS MER

  5. 4. Finding Corresponding Regions In Different Mammography Projections Using Convolutional Neural Networks

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Emil Eriksson; [2022]
    Nyckelord :Machine Learning; Convolutional Neural Network; U-net; Mammography; Corresponding Regions; MLO and CC; Medical Image Processing;

    Sammanfattning : Mammography screenings are performed regularly on women in order to detect early signs of breast cancer, which is the most common form of cancer. During an exam, X-ray images (called mammograms) are taken from two different angles and reviewed by a radiologist. LÄS MER

  7. 5. Preoperative prediction of sentinel nodal status using mammography images

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Malin Hjärtström; Maren Høibø; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common cancer among women in Sweden, accounting for approximately 30 % of the cancer cases. The overall prognosis is good, but worsens if the cancer metastasizes from the primary tumor. LÄS MER