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Deep learning-based algorithm to classify MC AD and NC MRI and fMRI data

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MCADNNet

Deep learning-based algorithm to classify MC AD and NC MRI and fMRI data

Image converter

The image converter script decomposes fMRI 4D data into 2D PNG slices. This script requires OpenCV and Nibabel as prerequirests. OpenCV is a computer vision library providing an extensive sets of functionalities for image processing, computer vision and machine learning. Nibabel is a library to manipulate and process neuroimaging data.

Installation

pip install opencv-python

pip install nibabel

Citation

MCADNNet: Recognizing Stages of Cognitive Impairment Through Efficient Convolutional fMRI and MRI Neural Network Topology Models

@article{sarraf2019mcadnnet, title={MCADNNet: Recognizing Stages of Cognitive Impairment Through Efficient Convolutional fMRI and MRI Neural Network Topology Models}, author={Sarraf, Saman and Desouza, Danielle D and Anderson, John AE and Saverino, Cristina}, journal={IEEE Access}, volume={7}, pages={155584--155600}, year={2019}, publisher={IEEE} }

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Deep learning-based algorithm to classify MC AD and NC MRI and fMRI data

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