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This repository is related to the thesis paper titled as "ALzheimer's Disease & Dementia Detection From 3D Brain MRI Data Using Deep Convolutional Neural Networks." This thesis paper was accepted and published by IEEE's 3rd INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY ( I2CT), PUNE, INDIA - 6-8 APRIL, 2018.

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tarek-ullah/AD-Detection-From-3D-Brain-MRI-Data-Using-Deep-Deterministic-Convolutional-Neural-Networks

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README

If you use this code for academic research, you are highly encouraged to cite the following paper by H. M. Tarek Ullah, Zishan Ahmed Onik, Riashat Islam, Dip Nandi:

Ullah, HM Tarek, ZishanAhmed Onik, Riashat Islam, and Dip Nandi. "Alzheimer's Disease and Dementia Detection from 3D Brain MRI Data Using Deep Convolutional Neural Networks." In 2018 3rd International Conference for Convergence in Technology (I2CT), pp. 1-3. IEEE, 2018.

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8529808&isnumber=8529154

What is this repository for?

This is a Deep Learning thesis work.Our data source is http://www.oasis-brains.org/ and we have used cross-sectional data. we have applied Deep Convolutional Neural Networks and trained our model 545 times using GPU. Our target was to detect Alzheimer's Disease and we have gained 80.25% accuracy after 545 epochs.

How do I get set up?

Dependency :

  1. Nilearn
  2. Tensorflow
  3. keras
  4. Scikit-learn
  5. OpenCV
  6. Matplotlib
  7. Jupyter Notebook
  8. https://www.floydhub.com/

License & Copyright

Copyright (c) 2018 H. M. Tarek Ullah

Licensed under the MIT License

About

This repository is related to the thesis paper titled as "ALzheimer's Disease & Dementia Detection From 3D Brain MRI Data Using Deep Convolutional Neural Networks." This thesis paper was accepted and published by IEEE's 3rd INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY ( I2CT), PUNE, INDIA - 6-8 APRIL, 2018.

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