Sökning: "Lung damages"

Hittade 3 uppsatser innehållade orden Lung damages.

  1. 1. The Influence of Natural Radon Occurrence on the Severity of the COVID-19 Pandemic in Germany: a Spatial Analysis

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Ignatius Gabriel Aloysius Maria Perera; [2022]
    Nyckelord :Geography; GIS; Epidemiology; Germany; SARS-CoV-2; COVID-19; Radon; Spatial regression; Earth and Environmental Sciences;

    Sammanfattning : The exposure to naturally occurring, radioactive noble gas radon is known to cause permanent damage in lung tissue. Lung diseases and prior radiation of lung tissue have been identified as contributing to a severe progression of COVID-19. LÄS MER

  3. 2. Assessment of lung damages from CT images using machine learning methods.

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

    Författare :Quentin Chometon; [2018]
    Nyckelord :Deep Learning; Artifical Neural Networks; Lung damages; CT-Scans; Multi-task learning; Transfer learning;

    Sammanfattning : Lung cancer is the most commonly diagnosed cancer in the world and its finding is mainly incidental. New technologies and more specifically artificial intelligence has lately acquired big interest in the medical field as it can automate or bring new information to the medical staff. LÄS MER

  4. 3. Automated Pulmonary Nodule Detection on Computed Tomography Images with 3D Deep Convolutional Neural Network

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

    Författare :Antoine Broyelle; [2018]
    Nyckelord :Deep Learning; Artifical Neural Networks; Lung damages; Lung cancer; CT scans; Pulmonary Nodules; Detection; Region Proposal.;

    Sammanfattning : Object detection on natural images has become a single-stage end-to-end process thanks to recent breakthroughs on deep neural networks. By contrast, automated pulmonary nodule detection is usually a three steps method: lung segmentation, generation of nodule candidates and false positive reduction. LÄS MER