Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing

Vladimir Groza, Bair Tuchinov, Evgeniya Amelina, Evgeniy N. Pavlovskiy, Nikolay Tolstokulakov, Mikhail Amelin, Sergey Golushko, Andrey Letyagin

Abstract: The brain tumor segmentation is one of the crucial tasks nowadays among other directions and domains where daily clinical workflow requires to put a lot of efforts while studying computer tomography (CT) or structural magnetic resonance imaging (MRI) scans of patients with various pathologies. MRI is the most common method of primary detection, non-invasive diagnostics and a source of recommendations for further treatment of brain diseases. The brain is a complex structure, different areas of which have different functional significance.