Before revision:  The novelty of the methodology is the combination of new topological features computed by topological data analysis , textural features and of automatic interpretable machine learning algorithm. The framework was evaluated on a public available dataset and it reaches up to the 97\% of accuracy on the detection task and up to 95\% of accuracy on the segmentation task .
After revision:  The novelty of the methodology is the combination of new topological features computed by topological data analysis , textural features and of automatic interpretable machine learning for automatic GBM classification on FLAIR. The algorithm reached a classification accuracy up to the 97\% of accuracy on the detection task and up to 95\% of accuracy on the segmentation task .