Sökning: "Segmentation"

Visar resultat 26 - 30 av 1099 uppsatser innehållade ordet Segmentation.

  1. 26. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Thomas Proudhon; [2023]
    Nyckelord :Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER

  3. 27. 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. 28. Automatisk detektering av kretskorts position inom in-circuit testning

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Dennis Hellstadius; [2023]
    Nyckelord :;

    Sammanfattning : Detta arbete har försökt att skapa ett program som kan användas för att hitta position och vinklar av kretskort för ett automatiserat Bed-of-Nails test. Programmet har haft som krav att kunna räkna ut vilken position i en bricka kretskort ligger i, vilken vinkel kretskortet ligger i gentemot brickan samt hur många kretskort som finns i brickan. LÄS MER

  5. 29. Improved U-Net architecture for Crack Detection in Sand Moulds

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Husain Ahmed; Hozan Bajo; [2023]
    Nyckelord :U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

    Sammanfattning : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. LÄS MER

  7. 30. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Kenan Zec; [2023]
    Nyckelord :Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

    Sammanfattning : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. LÄS MER