Overview / Usage

In this project, I develop a new way to detect Alzhemier's disease. According to the MRI of a person's head, I can tell whether the person is in an early , middle or late stage of Alzhemier's disease.T his technology can also be used to predict whether a person is gonna have an Alzhemier's disease.

It can help people to analyze which stage of Alzhemier's disease are they in. Also, it can also help people to pre-analyze whether they have chance in having Alzhemier's disease.

Methodology / Approach

Transfer learning is used in this project. I use Resnet to help classify the MRI of patients. In the pre-processing of data, I apply data augmentation. I use three directions of MRI. For each of the MRI,I get a score of classification of each type( early, middle, late). And I calculate the average of three directions to get a final score.