Sökning: "multi brain networks"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden multi brain networks.

  1. 1. Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Vendela Nigård; Joar Karlgren Gustavsson; [2022]
    Nyckelord :Convolutional neural networks; Machine learning; transfer learning; image quality assessment; camera production; image analysis; Mathematics and Statistics;

    Sammanfattning : In camera production the image quality is of utter importance. Several tests during the production ensure this high quality. In this thesis the possibility of creating a final test, that classifies the image quality with the help of machine learning, specifically convolutional neural networks, was investigated. LÄS MER

  3. 2. Expanding multilayer perceptrons with a brain inspired activation algorithm : Experimental comparison of the performance of an activation enhanced multi layer perceptron

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Karar Wajud Abdul Aziz; Kim Emil Leonard Gripenberg; [2022]
    Nyckelord :Multi layer perceptron; neural network; biological neuron; activation algorithm; inactive active neurons;

    Sammanfattning : Machine learning is a field that is inspired by how humans and, by extension, the brain learns.The brain consists of a biological neural network that has neurons that are either active or inactive. Modern-day artificial intelligence is loosely based on how biological neural networks function. LÄS MER

  4. 3. Statistical and Machine Learning for assessment of Traumatic Brain Injury Severity and Patient Outcomes

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Md Abdur Rahman; [2021]
    Nyckelord :TBI Traumatic brain injury ; Metabolites; Glasgow coma scale; Severity; Patient outcomes; CT positive negative; Random Forest; Boruta; Lasso regression; Ridge regression; Neural network; Deep learning.;

    Sammanfattning : Traumatic brain injury (TBI) is a leading cause of death in all age groups, causing society to be concerned. However, TBI diagnostics and patient outcomes prediction are still lacking in medical science. LÄS MER

  5. 4. Improving Brain Tumor Segmentation using synthetic images from GANs

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Aashana Nijhawan; [2021]
    Nyckelord :Image segmentation; Generative Adversarial Networks; GANs; Computer Vision; synthetic images; generator; discriminator; uncertainty estimation; deep neural networks; U-net; PGGAN;

    Sammanfattning : Artificial intelligence (AI) has been seeing a great amount of hype around it for a few years but more so now in the field of diagnostic medical imaging. AI-based diagnoses have shown improvements in detecting the smallest abnormalities present in tumors and lesions. This can tremendously help public healthcare. LÄS MER

  7. 5. Brain disease classification using multi-channel 3D convolutional neural networks

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Andreas Christopoulos Charitos; [2021]
    Nyckelord :Deep Learning DL ; fMRI; CNNs; Tensorflow Keras; ASD; Medical Imaging;

    Sammanfattning : Functional magnetic resonance imaging (fMRI) technology has been used in the investigation of human brain functionality and assist in brain disease diagnosis. While fMRI can be used to model both spatial and temporal brain functionality, the analysis of the fMRI images and the discovery of patterns for certain brain diseases is still a challenging task in medical imaging. LÄS MER