Essays about: "segmentation of brain"

Showing result 21 - 25 of 45 essays containing the words segmentation of brain.

  1. 21. Generating synthetic brain MR images using a hybrid combination of Noise-to-Image and Image-to-Image GANs

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Lennart Schilling; [2020]
    Keywords : Generative Adversarial Network; GAN;

    Abstract : Generative Adversarial Networks (GANs) have attracted much attention because of their ability to learn high-dimensional, realistic data distributions. In the field of medical imaging, they can be used to augment the often small image sets available. READ MORE

  3. 22. Automatic identification of northern pike (Exos Lucius) with convolutional neural networks

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Axel Lavenius; [2020]
    Keywords : Northern pike; Esox Lucius; population monitoring; Convolutional Neural Network; CNN; VGG-network; semantic segmentation; image classification; pattern recognition; Gädda; Esox Lucius; populationsmätning; faltande neuralt nätverk; CNN; VGG-nätverk; semantisk segmentering; bildigenkänning; mönsterigenkänning;

    Abstract : The population of northern pike in the Baltic sea has seen a drasticdecrease in numbers in the last couple of decades. The reasons for this are believed to be many, but the majority of them are most likely anthropogenic. READ MORE

  4. 23. Microstructural Brain Damage in Patients with SLE: An Analysis using Automated Segmentation of Nerve Tracts from Diffusion MRI

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Anna Wikström; [2020]
    Keywords : Technology and Engineering;

    Abstract : Systemic Lupus Erythematosus, SLE, is a disease with a large variation of symptoms. Some patients have neuropsychiatric symptoms, such as cognitive dysfunction and epilepsy. The classification of patients into NPSLE, with neuropsychiatric symptoms, and non-NPSLE, without these symptoms, is uncertain. READ MORE

  5. 24. Semi-Supervised Medical Image Segmentation with Equivariance Regularization

    University essay from Lunds universitet/Matematik LTH

    Author : Gustav Schölin; [2020]
    Keywords : Semi-Supervised Learning; Semantic Segmentation; Brain Tumor Segmentation; MRI; AI; Artificial Intelligence; BRATS 2019; Deep Learning; Computer Vision; Machine Learning; Peltarion AB; Mathematics and Statistics;

    Abstract : The last decades of research in machine learning and deep learning have lead to enormous advancements in the field. One of the areas that stand to gain the most from this is the medical sector. READ MORE

  6. 25. Estimation of Red Blood Cell-Count using Neural Networks

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Author : David Andersson; [2020]
    Keywords : Artificial neural networks; ANN; Convolutional neural networks; CNN; Red Blood Cells; Hematology; Image analysis; Regression; Malaria; Counting; Automation; Microscopy; Physics and Astronomy;

    Abstract : Quantification through image analysis is used in a multitude of fields, and often requires algorithms tailored to the specific task and object that needs to be quantified. The need for flexibility means that such segmentation algorithms are quickly becoming outdated with the advent of convolutional neural networks, which can be trained to fit the specific requirements of the user. READ MORE