Sökning: "network segmentation"

Visar resultat 1 - 5 av 236 uppsatser innehållade orden network segmentation.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  3. 2. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Daniel Wollberg; [2024]
    Nyckelord :GIS; BIM; FME; CloudCompare; GIS; BIM; FME; CloudCompare;

    Sammanfattning : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems.  SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. LÄS MER

  4. 3. Despeckling Echocardiograms Using Generative Adversarial Networks

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Falk DIppel; [2023-10-23]
    Nyckelord :Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

    Sammanfattning : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. LÄS MER

  5. 4. Anatomical segmentation of the human brain: comparative assessment of two automatic methods

    Master-uppsats,

    Författare :Carl von Dorrien; [2023-08-22]
    Nyckelord :Medical physics; MAPER; FreeSurfer; FastSurfer; Automatic brain segmentation; MRI; Deep Neural Network; Brain;

    Sammanfattning : Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the brain because of its excellent soft tissue contrast. LÄS MER

  7. 5. Network Orientation and Segmentation Refinement Using Machine Learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Michael Nilsson; Jonatan Kentson; [2023]
    Nyckelord :deep learning; semantic segmentation; orientation learning; road networks; retina networks;

    Sammanfattning : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. LÄS MER