Intelligent System for Diagnosing Vestibular Schwannoma

Authors

DOI:

https://doi.org/10.18372/1990-5548.85.20426

Keywords:

vestibular schwannoma, diagnosis of schwanoma growth, MRI imaging, texture analysis, classification task

Abstract

This scientific work is dedicated to the development of an intelligent system for diagnosing vestibular schwannoma. A new approach to texture analysis of magnetic resonance imaging images of schwanomas has been proposed as a method for assessing the growth of swelling. The use of this approach will help to avoid the risks of the progression of the neoplasm and immediately eliminate the need for surgical intervention. At the boundaries of the research, a number of classes of texture descriptors were put together, including: first-order statistics (intensity histograms), grey-color consistency matrix, dovzhin sequence matrix Gray Rivne, zone size matrix, Gray Rivn deposit matrix, as well as hvillet-transformed signs. The comprehensive analysis of these descriptors made it possible to formalize the internal microstructure of the fluff and implement an effective model for predicting its growth.

Author Biographies

Victor Sineglazov , State University "Kyiv Aviation Institute"

Doctor of Engineering Science

Professor

Head of the Department Aviation Computer-Integrated Complexes

Faculty of Air Navigation Electronics and Telecommunications

Volodymyr Fedirko , Romodanov Institute of Neurosurgery NAMS of Ukraine, Kyiv

MD PhD

DMSs 

Head of Subtentorial neurooncology department

Vasyl Shust , Romodanov Institute of Neurosurgery NAMS of Ukraine, Kyiv

MD

Postgraduate Student

Subtentorial neurooncology department

Andrew Sheruda , National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

Master's degree

Department of Artificial Intelligence, Institute of Applied Systems Analysis

Maksym Shevchenko, State University "Kyiv Aviation Institute"

Postgraduate Student

Aviation Computer-Integrated Complexes Department

Faculty of Air Navigation Electronics and Telecommunications

References

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Published

2025-09-29

Issue

Vol. 3 No. 85 (2025)

Section

COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES

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