|
This article is cited in 1 scientific paper (total in 1 paper)
Model for detecting globules in images of skin neoplasms
V. G. Nikitaeva, A. N. Pronicheva, O. B. Tamrazovab, V. Yu. Sergeevc, A. O. Lima, V. S. Kozlova a National Research Nuclear University "MEPhI" (Moscow Engineering Physics Institute)
b Russian Peoples Friendship University
c Central Medical Academy of the Presidential Administration of the Russian Federation
Abstract:
The article is devoted to digital image processing of skin neoplasms to detect significant structural elements in the diagnosis of melanoma – globules. A new processing model is proposed that allows stable selection of globules in different-contrast images without the need for manual adjustment of parameters. The results of the experiment confirming the adequacy of the model are presented. The globules recognition accuracy ranged from 81 to 89%, depending on the contrast of the original images. The experimental sample of images contained 2.868 globules.
Received: 22.04.2021 Revised: 12.07.2021 Accepted: 30.08.2021
Citation:
V. G. Nikitaev, A. N. Pronichev, O. B. Tamrazova, V. Yu. Sergeev, A. O. Lim, V. S. Kozlov, “Model for detecting globules in images of skin neoplasms”, Mat. Model., 33:10 (2021), 83–95; Math. Models Comput. Simul., 14:3 (2022), 411–418
Linking options:
https://www.mathnet.ru/eng/mm4328 https://www.mathnet.ru/eng/mm/v33/i10/p83
|
Statistics & downloads: |
Abstract page: | 267 | Full-text PDF : | 126 | References: | 41 | First page: | 12 |
|