Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

Published in: Measurement Techniques 9/2021

07-02-2022 | MEDICAL AND BIOLOGICAL MEASUREMENTS

Model for Estimating the Heterogeneity of the Distribution of Globule Characteristics in Images of Skin Neoplasms

Authors: V. G. Nikitaev, A. N. Pronichev, O. B. Tamrazova, V. Yu. Sergeev, V. Yu. Selchuk, V. S. Kozlov, A. O. Lim

Published in: Measurement Techniques | Issue 9/2021

Login to get access
share
SHARE

Abstract

The problem of diagnosing skin melanoma by digital imaging of the tumor is considered. Clinical algorithms for detecting skin melanoma are briefly described. A review of works devoted to the automated assessment of distribution asymmetry of the shape, color, and area of globules – important signs of melanoma, is given. A model for assessing the distribution heterogeneity of globule characteristics on digital images in the diagnosis of skin neoplasms has been developed, and models of distribution heterogeneity indicators have been proposed. An experimental comparative assessment of indicator models was carried out using a software system developed in the C++ language. The most informative indicators of globule characteristics distribution heterogeneity have been determined. The maximum (93%) accuracy in assessing the distribution heterogeneity of globule characteristics was obtained for the indicator “reduced reciprocal of the highest frequency of occurrence of the measured areas of globules.” The results of the study can be useful in the development of medical decision support systems for the diagnosis of melanoma.
Literature
1.
go back to reference A. D. Kaprin, V. V. Starinskiy, and G. V. Petrova, Malignant Neoplasms in Russia in 2018 (morbidity and mortality),” Gertsen Moscow Oncology Research Institute, Moscow (2019). A. D. Kaprin, V. V. Starinskiy, and G. V. Petrova, Malignant Neoplasms in Russia in 2018 (morbidity and mortality),” Gertsen Moscow Oncology Research Institute, Moscow (2019).
5.
go back to reference N. P. Malishevskaya, A. V. Sokolova, and N. P. Toropova, Recommendations for Dermoscopy of Skin Neoplasms, Protocol for Dermoscopic Examination: Textbook, SV-96, Yekaterinburg (2018). N. P. Malishevskaya, A. V. Sokolova, and N. P. Toropova, Recommendations for Dermoscopy of Skin Neoplasms, Protocol for Dermoscopic Examination: Textbook, SV-96, Yekaterinburg (2018).
7.
go back to reference M. V. Zhuchkov, M. A. Tarasova, and D. B. Sonin, “Nodular melanomas of the skin. Dermoscopic diagnostics,” Vest. Dermatol. Venerol., No. 6, 27–33 (2016). M. V. Zhuchkov, M. A. Tarasova, and D. B. Sonin, “Nodular melanomas of the skin. Dermoscopic diagnostics,” Vest. Dermatol. Venerol., No. 6, 27–33 (2016).
8.
go back to reference S. I. Korovin, A. I. Litus, B. V. Litvinenko, et al., “Dermoscopy of skin melanoma: application value and prospects,” Klin. Onkol., No. 4, 28–32 (2012). S. I. Korovin, A. I. Litus, B. V. Litvinenko, et al., “Dermoscopy of skin melanoma: application value and prospects,” Klin. Onkol., No. 4, 28–32 (2012).
14.
go back to reference V. G. Nikitaev, “Expert systems in information-measuring complexes of oncological diagnostics,” Izmer. Tekhn., No. 6, 67–70 (2015). V. G. Nikitaev, “Expert systems in information-measuring complexes of oncological diagnostics,” Izmer. Tekhn., No. 6, 67–70 (2015).
15.
go back to reference V. G. Nikitaev, “High-technology information-measuring complexes for oncological diagnostics: problems and key provisions of the construction methodology,” Izmer. Tekhn., No. 2, 68–70 (2015). V. G. Nikitaev, “High-technology information-measuring complexes for oncological diagnostics: problems and key provisions of the construction methodology,” Izmer. Tekhn., No. 2, 68–70 (2015).
16.
go back to reference V. G. Nikitaev, “Modern principles of measurements in intelligent systems of histological diagnostics of oncological diseases,” Izmer. Tekhn., No. 4, 68–70 (2015). V. G. Nikitaev, “Modern principles of measurements in intelligent systems of histological diagnostics of oncological diseases,” Izmer. Tekhn., No. 4, 68–70 (2015).
19.
go back to reference S. Yoshino, T. Tanaka, M. Tanaka, and H. Oka, “Application of morphology for detection of dots in tumor,” SICE 2004 Ann. Conf., Sapporo, Japan, Aug. 4–6, 2004, IEEE (2004), Vol. 1, pp. 591–594. S. Yoshino, T. Tanaka, M. Tanaka, and H. Oka, “Application of morphology for detection of dots in tumor,” SICE 2004 Ann. Conf., Sapporo, Japan, Aug. 4–6, 2004, IEEE (2004), Vol. 1, pp. 591–594.
20.
go back to reference S. Chatterjee, D. Dey, and S. Munshi, “Studies on a formidable dot and globule related feature extraction technique for detection of melanoma from dermoscopic images,” Proc. of the Computer, Communication and Electrical Technology (2017), pp. 337–341. S. Chatterjee, D. Dey, and S. Munshi, “Studies on a formidable dot and globule related feature extraction technique for detection of melanoma from dermoscopic images,” Proc. of the Computer, Communication and Electrical Technology (2017), pp. 337–341.
Metadata
Title
Model for Estimating the Heterogeneity of the Distribution of Globule Characteristics in Images of Skin Neoplasms
Authors
V. G. Nikitaev
A. N. Pronichev
O. B. Tamrazova
V. Yu. Sergeev
V. Yu. Selchuk
V. S. Kozlov
A. O. Lim
Publication date
07-02-2022
Publisher
Springer US
Published in
Measurement Techniques / Issue 9/2021
Print ISSN: 0543-1972
Electronic ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-022-02003-w