Sökning: "Region-of-Interest"

Visar resultat 6 - 10 av 75 uppsatser innehållade ordet Region-of-Interest.

  1. 6. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  3. 7. Characterization of Carotid Atherosclerotic Stenosis on Photon-Counting Computed Tomography

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :My Celander; [2023]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Introduction and aim Atherosclerotic stenosis located at the carotid bifurcation accounts for 10% − 20% of all Transient Ischemic Attacks (TIA) and ischemic strokes, which occurs when Atherosclerotic stenosis, or so-called plaque, ruptures. The current method to evaluate carotid atherosclerotic stenosis is to measure the degree of stenosis. LÄS MER

  4. 8. 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

  5. 9. Automatic Quality Assessment of Dermatology Images : A Comparison Between Machine Learning and Hand-Crafted Algorithms

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Hasseli Zahra; Anwia Odisho Raamen; [2022]
    Nyckelord :;

    Sammanfattning : In recent years, pictures from handheld devices such as smartphones have been increasingly utilized as a documentation tool by medical practitioners not trained to take professional photographs. Similarly to the other types of image modalities, the images should be taken in a way to capture the vital information in the region of interest. LÄS MER

  7. 10. Automatic Recognition of Water-Levels with Machine Learning

    M1-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Jakob Moregård; [2022]
    Nyckelord :;

    Sammanfattning : The measurement of water-levels is critical within hydropower production and with already existing camera surveillance in abundance for the purpose of manual supervision. The allure of automatic visual reading to replace the need for manual oversight is significant in the pursuit of fully data driven solutions within hydropower systems. LÄS MER