Testing the algorithm of tumor localization in breast cancer on the results of temperature field simulation

This work was carried outaspartof research on the development of methods forthe intelligent analysis of medical thermometric data. These methods are designed to create a consultative intelligent system for the diagnosis of breast cancer. The previously developed approach to the formation of the feat...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-02, Vol.1794 (1), p.12006
Main Authors: Glazunov, V A, Polyakov, M V
Format: Article
Language:English
Subjects:
Algorithms
Breast cancer
Genetic algorithms
Localization
Mammary glands
Medical research
Neoplasms
Physics
Temperature distribution
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Summary:This work was carried outaspartof research on the development of methods forthe intelligent analysis of medical thermometric data. These methods are designed to create a consultative intelligent system for the diagnosis of breast cancer. The previously developed approach to the formation of the feature space based on microwave radiothermometry data and the created algorithm forthe localization of malignant neoplasms in the mammary gland were applied. This algorithm is a weighted voting algorithm that is configured using a genetic algorithm. The operation of the algorithm was tested separately on the results of modeling the temperature fields of the mammary glands, as w’cll as on real data. In addition, it was crosschecked against real data and simulation results. In these cases, the localization algorithm can achieve accuracy from 55 to 65% on test samples.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1794/1/012006