Before revision:  In this work, a new methodology for fast detection and segmentation of GBM on FLAIR images is presented. The methodology leverages topological data analysis, textural features and  interpretable machine learning algorithm , it was evaluated on a public available dataset .
After revision:  In this work, a new methodology for fast detection and segmentation of GBM on FLAIR images is proposed. The framework can be used both for an initial detection of GBM and in case for its segmentation. The novelty of the methodology is the combination of new topological features computed by topological data analysis, textural features and interpretable machine learning algorithm , it was evaluated on a public available dataset .