Brain_Tumor_Classification

The aim of this project is to predict whether a patient has any kind of tumor or not based on a MRI brain images.

Steps Involved

1- Import all the necessary modules & load the data.
2- Observe the data and determine the number of output classes (4 in this case).
3- Partitioning the the dataset into training, validation, and test datasets.
4- Define a CNN model and doing the evaluation.
5- Perform Transfer learning method (in this case VGG16) to classify brain tumors.
6- Comparing the performance of the models.