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ISSN 2079-3316 Bilingual online scientific Online scientific journal of the Ailamazyan Program System Institute of the Ailamazyan PSI of PSI of Russian Academy of Science of RAS 12+ 
Volume 17 (2026) . Issue 2 (71) . Paper No. 7 (514)

Medical Informatics

Research Article
DOIDigital Object Identifier 10.25209/2079-3316-2026-17-2-295-326

Extraction of symmetrical brain characteristics for the automated detection of brain tumors in MRI images

Herve Kamguia FeukwiCorrespondent author

Saint-Petersburg State University, Saint-Petersbug, Russia
Herve Kamguia Feukwi — Correspondent author st093241@student.spbu.ru

Abstract. This study presents an automated and explainable decision-support framework for medical image analysis. The proposed method detects the principal symmetry axis in grayscale FLAIR brain MRI images, using candidate axes near the brain's center of mass and optimizing Jaccard and cosine similarity. Images are then binarized via FCM clustering. Bilateral asymmetry is quantified through five complementary metrics: Dice asymmetry metric and mass imbalance on binary images, and gradient asymmetry, intensity asymmetry, and structural asymmetry (inverted SSIM) on grayscale images. These features are classified by a CatBoost model into cancerous and non-cancerous cases, achieving 89% ROC-AUC, 80% accuracy, 88% sensitivity, and an F1-score of 80%. (Linked article texts in English and in Russian).

Keywords: Symmetry Analysis, Jaccard index, Cosine index, Fuzzy C-Means clustering

MSC-20202020 Mathematics Subject Classification 68T20; 92C50, 68U10MSC-2020 68-XX: Computer science MSC-2020 68Txx: Artificial intelligence MSC-2020 68T20: Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) MSC-2020 92-XX: Biology and other natural sciences MSC-2020 92Cxx: Physiological, cellular and medical topics MSC-2020 92C50: Medical applications (general) MSC-2020 68Uxx: Computing methodologies and applications MSC-2020 68U10: Computing methodologies for image processing

For citation: Herve Kamguia Feukwi. Extraction of symmetrical brain characteristics for the automated detection of brain tumors in MRI images. Program Systems: Theory and Applications, 2026, 17:2, pp. 295–326. (in Engl. In Russ.). https://psta.psiras.ru/2026/2_295-326.

Full text of bilingual article (PDF): https://psta.psiras.ru/read/psta2026_2_295-326.pdf (Clicking on the flag in the header switches the page language).

The article was submitted 01.05.2026; approved after reviewing 15.05.2026; accepted for publication 23.06.2026; published online 27.06.2026.

© Kamguia Feukwi H.
2026
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