giuliofabbri / alzhaimer-s-disease-recognition- Goto Github PK

The goal of this project is to build a model to identify signs of Alzheimer's disease in brain scans of patients,
developing also a way of explain to doctors which parts of the scan are most relevant to the decision.

I structured it as a 3-part tutorial for those who would like to replicate it:

1. Using two balance approach: Sick vs nonSick and Data augmentation (SMOOTE)
2. Testing various CNN models (ex. ResNet,VGG16, MobileNet...)
3. GradCAM interpretation to show doctors which parts of the brain are most interesting in determining the presence of the disease