Sökning: "CycleGAN"

Visar resultat 16 - 20 av 23 uppsatser innehållade ordet CycleGAN.

  1. 16. Reduction of streak artifacts in radial MRI using CycleGAN

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

    Författare :Amanda Ullvin; [2020]
    Nyckelord :MRI; Cardiovascular; CMR; Medical Imaging; Radial k-space sampling; Sub-Nyquist sampling; Golden Angle; GRASP; Compressed Sensing; Artificial Intelligence; Neural Network; Deep Learning; GAN; CycleGAN;

    Sammanfattning : One way of reducing the examination time in magnetic resonance imaging (MRI) is to reduce the amount of raw data acquired, by performing so-called undersampling. Conventionally, MRI data is acquired line-by-line on a Cartesian grid. LÄS MER

  3. 17. Cycle-GAN for removing structured foreground objects in images

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

    Författare :Romina Carolina Arriaza Barriga; [2020]
    Nyckelord :ComputerVision; Image de-fencing; CycleGAN; GAN; Homography; Unpaired data; Fence removal.; Datorvision; avstängning av bilder; CycleGAN; GAN; homografi; oparade data; borttagning av staket.;

    Sammanfattning : The TRACAB Image Tracking System is used by ChyronHego for the tracking of ball and players on football fields. It requires the calibration of the cameras around the arena which is disrupted by fences and other mesh structures that are positioned between the camera and the field as a safety measure for the public. LÄS MER

  4. 18. Deep Learning Based Deformable Image Registration of Pelvic Images

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

    Författare :Blanca Cabrera Gil; [2020]
    Nyckelord :Deep Learning; Medical Imaging; Image Registration; Pelvic Images; MR; CT;

    Sammanfattning : Deformable image registration is usually performed manually by clinicians,which is time-consuming and costly, or using optimization-based algorithms, which are not always optimal for registering images of different modalities. In this work, a deep learning-based method for MR-CT deformable image registration is presented. LÄS MER

  5. 19. License Plate Detection Utilizing Synthetic Data from Superimposition

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Olof Harrysson; [2019]
    Nyckelord :AI; machine learning; deep learning; CycleGAN; YOLOv3; Mathematics and Statistics;

    Sammanfattning : Machine learning projects are often constrained by data that is messy, scarce, sensitive or costly to produce. These are issues which could be mitigated by synthetic data. This thesis tries to improve Swedish license plate localization in images by synthesizing images through superimposition, a process that produces data cheaply and in abundance. LÄS MER

  7. 20. Generative Adversarial Networks to enhance decision support in digital pathology

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Alessia De Biase; [2019]
    Nyckelord :Generative Adversarial Networks; Digital Pathology; CycleGAN; Style Transfer;

    Sammanfattning : Histopathological evaluation and Gleason grading on Hematoxylin and Eosin(H&E) stained specimens is the clinical standard in grading prostate cancer. Recently, deep learning models have been trained to assist pathologists in detecting prostate cancer. LÄS MER