Sökning: "Upplösning"

Visar resultat 1 - 5 av 19 uppsatser innehållade ordet Upplösning.

  1. 1. Deep Learning-Based Bone Segmentation of the Metatarsophalangeal Joint : Using an Automatic and an Interactive Approach

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

    Författare :Hannah Krogh; [2023]
    Nyckelord :Deep Learning; CNN; U-Net; DeepEdit; Bone Segmentation; CT; MTP Joint;

    Sammanfattning : The first Metatarsophalangeal (MTP) joint is essential for foot biomechanics and weight-bearing activities. Osteoarthritis in this joint can lead to pain, discomfort, and limited mobility. In order to treat this, Episurf Medical is working to produce individualized implants based on 3D segmentations of the joint. LÄS MER

  3. 2. Implementation of Super-Resolution Ultrasound Imaging for in Vitro Experiments

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

    Författare :Kani Yara; [2022]
    Nyckelord :B-mode; Localization; Microbubbles; Poly-Vinyl-Alcohol; Tracking; Verasonics; B-mode; Localisering; Mikrobubblor; Poly-Vinyl-Alcohol; Spårning; Verasonics;

    Sammanfattning : Ultrasound imaging systems are a safe and affordable imaging modality with the disadvantage of low spatial resolution, especially for assessing smaller vessels. However, with the implementation of super-resolution ultrasound imaging techniques, studies have shown promising results in achieving a resolution below the diffraction limit. LÄS MER

  4. 3. Evaluation of a change detection approach to map global flood extents using Sentinel-1

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Axel Risling; [2022]
    Nyckelord :Flood mapping; global flood models; synthetic aperture radar; cloud-computing; change detection; Översvämningskartering; globala översvämningsmodeller; syntetisk aperturradar; molntjänster; förändringsdetektering;

    Sammanfattning : Floods are the most frequent disaster in the world and flood exposure is increasing globally. Flood mapping of past events can be a useful aid in not only disaster risk management, but also in evaluating and validating global flood models (GFMs) which are being used to assess and predict these floods. LÄS MER

  5. 4. Ghosts of Our Past: Neutrino Direction Reconstruction Using Deep Neural Networks

    Kandidat-uppsats, Uppsala universitet/Högenergifysik

    Författare :Sigfrid Stjärnholm; [2021]
    Nyckelord :neutrino; neural network; ICECUBE; AI; convolutional neural network; CNN; askaryan emission; charged current; neutral current; CC; NC; Keras; TensoFlow; neutrino; neuralt nätverk; ICECUBE; AI; askaryan emission; Keras; TensorFlow;

    Sammanfattning : Neutrinos are the perfect cosmic messengers when it comes to investigating the most violent and mysterious astronomical and cosmological events in the Universe. The interaction probability of neutrinos is small, and the flux of high-energy neutrinos decreases quickly with increasing energy. LÄS MER

  7. 5. Using blue light reflectance from high-resolution images (6000 dpi) of Scots pine tree rings to reconstruct three centuries of Scottish summer temperatures

    Kandidat-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Alice De Schutter; Karin Markendahl; [2021]
    Nyckelord :summer temperature reconstruction; climate change; Scotland; Scots pines; ultra-high image resolution; blue intensity; rekonstruktion av sommartemperatur; klimatförändringar; Skottland; skotska tallar; hög bildupplösning; blå intensitet;

    Sammanfattning : Advances in scanner technology have made it possible to obtain high resolution (6000 dpi) images of tree samples. Due to the images’ increased capability of resolving anatomical wood structures, the new technology could be of benefit to dendroclimatology.  This study attempts to expand on Rydval et al. LÄS MER