GlioMap: MATLAB-based GUI for MRI Brain Tumor Segmentation and Feature Extraction

GlioMap is an open-source, MATLAB-based software designed for brain tumor segmentation and standardized feature extraction from MRI images. The software provides an interactive graphical user interface (GUI) that integrates preprocessing, skull stripping, semi-automatic segmentation, tumor masking, and both radiomic and morphological feature calculation. Unlike general-purpose imaging platforms, GlioMap is lightweight and accessible, reducing the technical barriers for students, clinicians, and researchers without programming expertise. A key contribution of GlioMap is its emphasis on reproducibility: all 100 radiomic and 33 morphological features are compliant with the Image Biomarker Standardization Initiative (IBSI) [ 1 ], ensuring consistency across studies and machine learning pipelines. Outputs, including tumor masks and feature spreadsheets, can be readily exported for integration into clinical research workflows or classification models. By combining accessibility with standardized radiomic analysis, GlioMap provides a practical and reproducible tool for advancing automated clinical decision-support in neuro-oncology.