Model for Estimating the Morphological Characteristics of Structureless Areas of Pigmented Skin Neoplasms
https://doi.org/10.56304/S2079562922030319
Abstract
The paper considers the problem of early diagnosis of skin melanoma by dermatoscopic images of skin neoplasms. A model for assessing the diagnostically significant morphological characteristics of neoplasm elements – structureless areas is proposed. An experimental study was conducted to determine the adequacy of the model. The most informative signs for the assessment of morphological characteristics have been identified. The best classification accuracy (94%) was achieved for feature A1. The results of the study can be applied in the development of medical decision support systems for the diagnosis of skin melanoma.
About the Authors
V. G. Nikitaev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Moscow, 115409
A. N. Pronichev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Moscow, 115409
O. B. Tamrazova
Peoples’ Friendship University of Russia (RUDN University)
Russian Federation
Russian Federation
Moscow, 117198
V. Yu. Sergeev
Central State Medical Academy of the Presidential Administration of the Russian Federation
Russian Federation
Russian Federation
Moscow, 121359
Yu. Yu. Sergeev
Central State Medical Academy of the Presidential Administration of the Russian Federation
Russian Federation
Russian Federation
Moscow, 121359
A. O. Lim
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Moscow, 115409
V. S. Kozlov
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Moscow, 115409
References
1. Каприн А.Д., Старинский В.В., Шахзадов А.О. Состояние онкологической помощи населению России в 2021 году. 2022. Москва: МНИОИ им. П.А. Герцена (ф. ФГБУ НМИЦ радиологии МЗ РФ).
2. Yang D.D., Salciccioli J.D., Marshall D.C., et al. // Brit. J. Dermatol. 2020. V. 183 (6). P. 1056.
3. Erkenova F.D., Puzin S.N. // Med. Soc. Expert Eval. Rehabil. 2020. V. 23 (1). P. 44.
4. Potekaev N.N., Titov K.S., Markin A.A., et al. // Klin. Dermatol. Venerol. 2020. V. 19 (6). P. 810.
5. Nikitaev V.G. // Meas. Tech. 2015. V. 58 (6). P. 719.
6. Nikitaev V.G. // Meas. Tech. 2015. V. 58 (4). P. 68.
7. Nikitaev V.G. // Meas. Tech. 2015. V. 58 (2). P. 214.
8. Nasir M., Khan M.A., Sharif M., et al. // Curr. Med. Imaging. 2020. V. 16 (7). P. 794.
9. Prilipsky R.E., Zaeva M.A. // Proc. Comput. Sci. 2020. V. 169. P. 96.
10. Selchuk V.Y., Rodionova O.V., Sukhova O.G., et al. // J. Phys.: Conf. Ser. 2017. V. 798 (1). P. 012137.
11. Kulik S.D., Shtanko A.N. // Proc. Comput. Sci. 2020. V. 169. P. 164.
12. Малишевская Н.П., Соколова А.В., Торопова Н.П. Рекомендации по проведению дерматоскопии новообразований кожи, протокол дерматоскопического исследования: учебное пособие для врачей. 2018. Екатеринбург: СВ – 96.
13. Zhuchkov M.V., Bolshakova E.E., Sonin D.B., et al. // Cons. Med. 2019. V. 21 (12.2). P. 14.
14. Эберт М.А., Гафтон Г.И., Зиновьев Г.В., Гафтон И.Г. // Вопросы онкологии. 2019. Т. 65 (5). С. 638.
15. Argenziano G., Catricalà C., Ardigo M., et al. // Brit. J. Dermatol. 2011. V. 164 (4). P. 785.
16. Menzies S.W., Moloney F.J., Byth K., et al. // JAMA Dermatol. 2013. V. 149 (6). P. 699.
17. Zhuchkov M.V., Bulinska A.K., Kittler H. // Dermatology. 2017. V. 2. P. 5.
18. Stoecker W.V., Gupta K., Stanley R.J., et al. // Res. Technol. 2005. V. 11 (3). P. 179.
19. Zenone M., Zocchi L., Moccia C., et al. // J. Eur. Acad. Dermatol. Venereol. 2022. V. 36 (3). P. 391.
20. Никитаев В.Г. и др. // Матем. моделирование. 2021. Т. 33 (10). С. 83.
21. Nikitaev, V.G., Pronichev A.N., Tamrazova O.B., et al. // Meas. Tech. 2021. V. 64. P. 778.
22. Nikitaev V.G., Pronichev A.N., Tamrazova O.B., et al. // Instruments. 2021. V. 8. P. 38.
23. Nikitaev V.G., Pronichev A.N., Tamrazova O.B., et al. // Instruments. 2021. V. 10. P. 41.
24. Nikitaev V.G., Pronichev A.N., Tamrazova O.B., et al. // Biomed Eng. 2022. V. 55. P. 346.
Review
For citations:
Nikitaev V.G., Pronichev A.N., Tamrazova O.B., Sergeev V.Yu., Sergeev Yu.Yu., Lim A.O., Kozlov V.S. Model for Estimating the Morphological Characteristics of Structureless Areas of Pigmented Skin Neoplasms. Nuclear Physics and Engineering. 2023;14(1):94-99. (In Russ.) https://doi.org/10.56304/S2079562922030319
Views:
52
Email this article 