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ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification

The paper presents image description and classification methods which were used by United Institute of Informatics Problems (UIIP) group for tuberculosis image classification task. A method based on cooccurrence of adjacent supervoxels in 3D computed tomography (CT) images was used for subtask #1 which was dedicated to image-based recognition of multi-drug resistant tuberculosis. For subtask #2 which is dedicated to automated categorization of tuberculosis patients into one of five types of tuberculosis, extended multidimensional multi-sort co-occurrence matrices were used for describing the CT scans. Both two submitted runs were ranked 7th in both subtasks.