1. Cropping to focus on brain shape
2. Applying Gaussian Filter for blurring on gray scale images
3. Apply Thresholding
4. apply active contour for tumor shape extraction

1. Mean, Standard Deviation, Variance, Skewness, Entropy, RMS, Kurtios, HMI1, HMI2, HMI3, HMI4 of image
2.  Area, Perimeter, Circular shape, Convex Area, Solidity, Equivalent Diameter, Major Axis, Minor Axis,  of The tumor after image contouring
3.  GLCM features like contrast, homogeneity, energy, correlation, dissimilarity 

1. Random Forest Classifier (90%)
2. XGBoosting Classifier (91%)
3. Support Vection Machine (88%)
4. Knearest Knieghbour (87%)

* Scaling data using Standard Scaler (increased the test accuracies of models)
* Dimensionality Reduction Using PCA (was not a good option)
* best feature was

* Confusion Matrix
* F1 Score, Precision, and Recall

main
├─ Notebooks
│  ├─  Feature Extraction
│  ├─  Modelling and Evaluation
│  └─  Data Analysis
├─ Paper & contributions
├─ Contour Images & processed images
└─ README.md

Download it from www.python.org/downloads/

pip install numpy

pip install Flask

pip install os

pip install PIL

pip install opencv-python

pip install skimage