Matematicheskoe modelirovanie
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Matem. Mod.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Matematicheskoe modelirovanie, 2021, Volume 33, Number 2, Pages 67–81
DOI: https://doi.org/10.20948/mm-2021-02-05
(Mi mm4262)
 

Algorithm for analyzing the characteristics of the pigment network in the diagnosis of melanoma

V. G. Nikitaeva, O. B. Tamrazovab, A. N. Pronicheva, V. Yu. Sergeevc, E. A. Druzhininaa

a National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
b Peoples' Friendship University of Russia
c Central State Medical Academy of the Presidential Administration of Russian Federation
References:
Abstract: The paper offers an algorithm for analyzing the characteristics of the pigment network of skin neoplasms. The algorithm is based on the study of the coefficient of variation of average lengths of the segments of pigment network in local areas of tumors from the average value of the lengths of the line segments pigment network throughout the area of the tumor. The algorithm allows you to distinguish a typical pigment network from an atypical one. An atypical pigment network is an essential feature in determining early-stage melanoma. The algorithm can be used in automated systems for supporting medical decision — making in the diagnosis of skin neoplasms.
Keywords: digital image processing, segmentation, skeletonization, atypical pigment network, dermatoscopy, diagnosis of melanoma.
Funding agency Grant number
Russian Science Foundation 19-11-00176
Received: 13.10.2020
Revised: 13.10.2020
Accepted: 30.11.2020
English version:
Mathematical Models and Computer Simulations, 2021, Volume 13, Issue 5, Pages 861–869
DOI: https://doi.org/10.1134/S2070048221050161
Document Type: Article
Language: Russian
Citation: V. G. Nikitaev, O. B. Tamrazova, A. N. Pronichev, V. Yu. Sergeev, E. A. Druzhinina, “Algorithm for analyzing the characteristics of the pigment network in the diagnosis of melanoma”, Matem. Mod., 33:2 (2021), 67–81; Math. Models Comput. Simul., 13:5 (2021), 861–869
Citation in format AMSBIB
\Bibitem{NikTamPro21}
\by V.~G.~Nikitaev, O.~B.~Tamrazova, A.~N.~Pronichev, V.~Yu.~Sergeev, E.~A.~Druzhinina
\paper Algorithm for analyzing the characteristics of the pigment network in the diagnosis of melanoma
\jour Matem. Mod.
\yr 2021
\vol 33
\issue 2
\pages 67--81
\mathnet{http://mi.mathnet.ru/mm4262}
\crossref{https://doi.org/10.20948/mm-2021-02-05}
\transl
\jour Math. Models Comput. Simul.
\yr 2021
\vol 13
\issue 5
\pages 861--869
\crossref{https://doi.org/10.1134/S2070048221050161}
Linking options:
  • https://www.mathnet.ru/eng/mm4262
  • https://www.mathnet.ru/eng/mm/v33/i2/p67
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
    Statistics & downloads:
    Abstract page:363
    Full-text PDF :133
    References:43
    First page:14
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024