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TEAM

NeuroGnosis

Gokcen Buyukbas, Selman Ipek, Tushar Pandey, jack Arbunich, Cisil Karaguzel, Tasnim Iqbal

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Goal: Detect Alzheimer's disease from structural brain MRI (Magnetic resonance imaging).
This project aims to develop an advanced deep learning model for the early detection of Alzheimer's disease using structural brain MRI data. Leveraging cutting-edge deep learning techniques, we will train a robust diagnostic model capable of accurately classifying individuals into Non-Demented and Mild Demented categories based on their brain MRI scans. Through meticulous data preprocessing and model optimization, we aim to achieve high classification accuracy. Additionally, we will explore the interpretability of our model's predictions, providing valuable insights into the underlying neurological patterns associated with the onset of Alzheimer's disease.

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