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CLASSIFICATION OF MEDICAL IMAGES BASED ON THE SPECTRA OF LOCAL WINDOWS

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Biomedical Engineering Aims and scope

Abstract

A method for automated classification of medical images using neural networks is presented. The method includes an image segmentation stage at which areas of interest are selected and a stage at which segments are classified into defined classes of pathological formations. Algorithmic and software support has been developed for medical image classification; experimental testing using control sets for the differential diagnosis of segments of the Oncology and Pancreatitis classes on endoscopic images of the pancreas showed that the diagnostic sensitivity for these classes was at least 0.8 and diagnostic specificity was least 0.85.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Southwest State University, Kursk, Russian Federation

    S. A. Filist, D. S. Kondrashov, A. A. Kuz’min, A. Yu. Sukhomlinov & Ch. Kh. Al’-Darradzhi

  2. University of Diyala, Baquba, Iraq

    Ch. Kh. Al’-Darradzhi

Authors
  1. S. A. Filist
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  2. D. S. Kondrashov
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  3. A. A. Kuz’min
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  4. A. Yu. Sukhomlinov
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  5. Ch. Kh. Al’-Darradzhi
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Corresponding author

Correspondence to S. A. Filist.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 57, No. 5, pp. 18–20, September-October, 2023.

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Original article submitted September 15, 2023.

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Filist, S.A., Kondrashov, D.S., Kuz’min, A.A. et al. CLASSIFICATION OF MEDICAL IMAGES BASED ON THE SPECTRA OF LOCAL WINDOWS. Biomed Eng 57, 321–324 (2024). https://doi.org/10.1007/s10527-023-10324-5

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  • DOI: https://doi.org/10.1007/s10527-023-10324-5

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