Abstract
The paper presents the results of investigation of the possibility of using textural statistical features to classify the images of ultrasound diagnostics of thyroid nodules. Ultrasound diagnostics has a significant potential for quantitative diagnostics. New information technologies allow us to identify characteristics that complement the classical methods of image analysis in medicine.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1134%2FS1063778823110297/MediaObjects/11450_2024_3180_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1134%2FS1063778823110297/MediaObjects/11450_2024_3180_Fig2_HTML.png)
REFERENCES
D. S. Dean and H. Gharib, Best Pract. Res. Clin. Endocrinol. Metab. 22, 901 (2008).
H. G. Kim, Eur. J. Radiol. 81, e352 (2012).
S. Peng, Lancet. Digital Health 3 (4), e250 (2021).
Y. Cao, Cancers 13, 2436 (2021).
E. F. Cleere, Diagnostics 12, 794 (2022).
K. Haralick and I. Shanmugan, IEEE Trans. Syst. Man Cybern. 3, 610 (1973).
M. Hall-Beyer, GLCM Texture: A Tutorial, Vers. 3.0, March 2017. http://hdl.handle.net/1880/51900.
E. J. Gomes Ataide et al., Sensors 20, 6110 (2020).
Funding
This work was supported by the Russian Science Foundation, project no. 22-15-00135 “Scientific Justification, Development, and Implementation of New Technologies of Diagnosis of Comorbid Iodine Deficiency and Autoimmune Diseases of the Thyroid with the Use of the Possibilities of Artificial Intelligence.” When preparing this manuscript for publication, the authors preserved the independence of opinions.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors of this work declare that they have no conflicts of interest.
Additional information
Translated by E. Smirnova
Publisher’s Note.
Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Manaev, A.V., Trukhin, A.A., Zakharova, S.M. et al. Textural Statistical Features of Ultrasound Imaging of Thyroid Nodules in the Assessment of Malignancy Status. Phys. Atom. Nuclei 86, 2500–2506 (2023). https://doi.org/10.1134/S1063778823110297
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1063778823110297