Sökning: "Image segmentation"

Visar resultat 26 - 30 av 431 uppsatser innehållade orden Image segmentation.

  1. 26. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Emil Brynielsson; [2023]
    Nyckelord :Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

    Sammanfattning : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. LÄS MER

  2. 27. Volumetric Image Segmentation of Lizard Brains

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Yulia Dragunova; [2023]
    Nyckelord :image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

    Sammanfattning : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. LÄS MER

  3. 28. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Henrik Träff; [2023]
    Nyckelord :Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Sammanfattning : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). LÄS MER

  4. 29. Evaluating Methods for Image Segmentation

    Kandidat-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Lukas Dissing; [2023]
    Nyckelord :image analysis; image segmentation; object detection;

    Sammanfattning : This work implements and evaluates different methods of image analysis and manipulation for the purposesof object recognition. It lays the groundwork for possible future projects that could use machine learning onthe output for the purposes of analyzing the behaviour of lab mice. LÄS MER

  5. 30. Optic nerve sheath diameter semantic segmentation and feature extraction

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

    Författare :Simone Bonato; [2023]
    Nyckelord :Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

    Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER