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.
- Install the required packages with
pipenv install - Download the data and add it to a folder named
dataat the root of the project
You can train a model using the train script
python -m alzheimerdetection.train alexnetThe progress of the training will be shown in your console