Essays about: "Ground Segment"

Showing result 1 - 5 of 49 essays containing the words Ground Segment.

  1. 1. Automatic Semantic Segmentation of Indoor Datasets

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Sai Swaroop Rachakonda; [2024]
    Keywords : Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Abstract : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. READ MORE

  3. 2. Simulating metal ct artefacts for ground truth generation in deep learning.

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Arthur Barakat; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  4. 3. Self-learning for 3D segmentation of medical images from single and few-slice annotation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Côme Lassarat; [2023]
    Keywords : Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

    Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE

  5. 4. Deep learning-based segmentation of anatomical structures in MR images

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Rasmus Ledberg; [2023]
    Keywords : MRI; deep learning; segmentation;

    Abstract : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. READ MORE

  6. 5. A stakeholder-based analysis of potential photovoltaic systems’ contributions within the German government’s capacity addition plans to 2030

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Felix Rüsseler; [2023]
    Keywords : German Energy Transition; Photovoltaics; Photovoltaics System Types; Renewable Energy Policies; Stakeholder Interviews; Sustainable Development;

    Abstract : The ongoing energy transition in Germany foresees significant increases in the share of renewable energies in the country’s electricity mix until 2030. A share of 80% is targeted and photovoltaics should have a major contribution with a total capacity of 215 Gigawatts aimed to be installed. READ MORE