Optics and Spectroscopy
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Optics and Spectroscopy:
Year:
Volume:
Issue:
Page:
Find




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

Optics and Spectroscopy, 2019, Volume 126, Issue 5, Pages 584–595
DOI: https://doi.org/10.21883/OS.2019.05.47657.6-19 (Mi os713) 		 
This article is cited in 7 scientific papers (total in 7 papers)

The 22nd Annual Conference Saratov Fall Meeting 2018 (SFM'18): VI International Symposium ''Optics and Biophotonics'' and XXII International School for Junior Scientists and Students on Optics, Laser Physics & Biophotonics
Biophotonics

Differentiation of pigmented skin neoplasms based on digital processing of optical images

E. N. Rimskayaa, A. O. Schadkoa, I. A. Apollonovaa, A. P. Nikolaeva, A. N. Brikoa, I. A. Deshina, P. U. Bereshnoyb, K. G. Kudrinc, K. I. Zaitsevade, V. V. Tuchinf, I. V. Reshetovd

a Bauman Moscow State Technical University
b Plekhanov Russian State University of Economics, Moscow
c Institute for Advanced Studies of the Federal Medical Biological Agency of Russia, Moscow
d I. M. Sechenov First Moscow State Medical University
e Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow
f Saratov State University
Citations (7)
DOI: https://doi.org/10.21883/OS.2019.05.47657.6-19
Abstract: A method for differentiation of pigmented skin neoplasms based on digital processing of optical images has been proposed. The optical images are detected using a digital camera and an etalon for its color and spatial calibration. The method implies segmentation and automatic differentiation of neoplasms based on 5 parameters –the diameter, area, color, shape and smoothness of margins of the neoplasm. It reveals clinical features of the neoplasm, required for diagnosis, and allows for calculating a probability of the neoplasms malignizaion. The proposed method has been verified using 360 imaging of pigmented neoplasms of the skin in vivo; among them: ordinary, dysplastic nevi of the skin and skin melanoma. The observed sensitivity and specificity of the proposed technique are 97% and 95%, correspondingly.
Funding agency Grant number
Russian Foundation for Basic Research 18-38-00958
18-29-02099
The creation of the experimental setup and processing and analysis of images of pigmented skin neoplasms were supported by the Russian Foundation for Basic Research, project no. 18-38-00958. The experimental studies were supported by the Russian Foundation for Basic Research, project no. 18-29-02099.
Received: 21.11.2018
Revised: 09.01.2019
Accepted: 31.01.2019
English version:
Optics and Spectroscopy, 2019, Volume 126, Issue 5, Pages 503–513
DOI: https://doi.org/10.1134/S0030400X19050230
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. N. Rimskaya, A. O. Schadko, I. A. Apollonova, A. P. Nikolaev, A. N. Briko, I. A. Deshin, P. U. Bereshnoy, K. G. Kudrin, K. I. Zaitsev, V. V. Tuchin, I. V. Reshetov, “Differentiation of pigmented skin neoplasms based on digital processing of optical images”, Optics and Spectroscopy, 126:5 (2019), 584–595; Optics and Spectroscopy, 126:5 (2019), 503–513
Citation in format AMSBIB
\Bibitem{RimSchApo19}
\by E.~N.~Rimskaya, A.~O.~Schadko, I.~A.~Apollonova, A.~P.~Nikolaev, A.~N.~Briko, I.~A.~Deshin, P.~U.~Bereshnoy, K.~G.~Kudrin, K.~I.~Zaitsev, V.~V.~Tuchin, I.~V.~Reshetov
\paper Differentiation of pigmented skin neoplasms based on digital processing of optical images
\jour Optics and Spectroscopy
\yr 2019
\vol 126
\issue 5
\pages 584--595
\mathnet{http://mi.mathnet.ru/os713}
\crossref{https://doi.org/10.21883/OS.2019.05.47657.6-19}
\elib{https://elibrary.ru/item.asp?id=39133866}
\transl
\jour Optics and Spectroscopy
\yr 2019
\vol 126
\issue 5
\pages 503--513
\crossref{https://doi.org/10.1134/S0030400X19050230}
Linking options:
  • https://www.mathnet.ru/eng/os713
  • https://www.mathnet.ru/eng/os/v126/i5/p584
    • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Optics and Spectroscopy Optics and Spectroscopy
    Statistics & downloads:
    Abstract page:37
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024