Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation

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

Abstract: Automatic brain tumor segmentation is one of the crucial problems 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. The MRI is the most common method of primary detection, non-invasive diagnostics and a source of recommendations for further treatment. The brain is a complex structure, different areas of which have different functional significance.