Research and projectsData analysis tools Toolbox for brain image recognition using artificial neural networks

Toolbox for brain image recognition using artificial neural networks

Author: Roman Vyškovský
Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic

Citation:
Vyškovský, R.: Toolbox for brain image recognition using artificial neural networks, version 1.0 [on-line]. 2016. Available from: http://www.iba.muni.cz/index-en.php?pg=research--data-analysis-tools--annbrainrecog_toolbox

Description:
This toolbox is focused on brain image classification using artificial neural networks. The functions implemented in MATLAB® were created during experimentation aiming at the design of a classification scheme able to detect first-episode schizophrenia from brain MRI data. The experiments resulted in two classification schemes. The first one uses single classifiers based on artificial neural networks (ANN) and the second scheme takes advantage of Random Subspace Ensemble Multi-layer Perceptron (RSE-MLP).

documentation (PDF file, 1.1 MB)
source code (ZIP archive, 0.2 MB)