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Comparison of various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

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roshansadath/Alzheimers-Disease-Classification

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COMP6341 : Computer Vision

Alzheimer's disease is a neurodegenerative condition that causes memory impairment, especially in older individuals, and currently has no cure. Due to a large number of patients, it is not feasible to manually diagnose the disease in a timely and efficient manner. Although various diagnostic procedures are available, mistakes during the diagnosis process are common due to time constraints and the complexity of the disease. Thus, there is a pressing need for a precise and timely diagnosis of Alzheimer's disease. Our proposed project compares various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

Setting up your environment

  1. Install the required packages with pipenv install
  2. Download the data and add it to a folder named data at the root of the project

Using this project

You can train a model using the train script

python -m alzheimerdetection.train alexnet

The progress of the training will be shown in your console

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Comparison of various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

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