Sökning: "U-Net"

Visar resultat 16 - 20 av 103 uppsatser innehållade ordet U-Net.

  1. 16. Comprehensive Study of Brain Age Prediction using Classical Machine Learning and Neural Networks

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Pranav Prakash Chandra; [2023]
    Nyckelord :;

    Sammanfattning : The biological age of the human brain is an important biomarker in inspecting and maintaining the health of an individual. The brain age provides insights into an individual’s brain health due to genetics, environment, and lifestyle. LÄS MER

  3. 17. Evaluation of Tree Planting using Computer Vision models YOLO and U-Net

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Sofie Liszka; [2023]
    Nyckelord :Unet; YOLOv8; Autonomous tree planting;

    Sammanfattning : Efficient and environmentally responsible tree planting is crucial to sustainable land management. Tree planting processes involve significant machinery and labor, impacting efficiency and ecosystem health. In response, Södra Skogsägarna introduced the BraSatt initiative to develop an autonomous planting vehicle called E-Beaver. LÄS MER

  4. 18. Generating Synthetic CT Images Using Diffusion Models

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Salih Saleh; [2023]
    Nyckelord :Machine learning; artificial intelligence; generative models; diffusion models; MRI; CT; synthetic CT; radiation therapy;

    Sammanfattning : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). LÄS MER

  5. 19. Deep Learning for Building Damage Assessment of the 2023 Turkey Earthquakes : A comparison of two remote sensing methods

    Kandidat-uppsats, KTH/Geoinformatik

    Författare :Tobias Karlbrg; Jennifer Malmgren; [2023]
    Nyckelord :Deep learning; U-Net; Earthquake-induced building damage; VHR satellite imagery; Djup maskininlärning; U-Net; Byggnadsskador; Jordbävning; Satellitbilder;

    Sammanfattning : Current disaster response strategies are based on damage assessments carried out on the ground, which can be dangerous following a ä destructive event. Damage assessments can also be performed remotely using satellite imagery, but are usually carried out through visual interpretation, which can take a lot of time. LÄS MER

  7. 20. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Lasse Stahnke; [2023]
    Nyckelord :Lymphoma; PET-CT; Deep Learning; CNN; Retina U-Net; Feature Pyramid Transformer; Detection; Segmentation; Lymfom; PET-CT; djupinlärning; CNN; Retina U-Net; Feature Pyramid Transformer; detektion; segmentering;

    Sammanfattning : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. LÄS MER