Computer Optics
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



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






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


Computer Optics, 2016, Volume 40, Issue 6, Pages 939–946
DOI: https://doi.org/10.18287/2412-6179-2016-40-6-939-946
(Mi co347)
 

This article is cited in 8 scientific papers (total in 8 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Feature selection for diagnozing the osteoporosis by femoral neck X-ray images

A. V. Gaidelab, V. R. Krasheninnikovc

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf RAS, – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia
c Ulyanovsk State Technical University, Ulyanovsk, Russia
Full-text PDF (567 kB) Citations (8)
References:
Abstract: We analyzed the quality of a number of features describing the texture of digital X-ray images of the bone tissue for the computer-aided diagnosis of the osteoporosis. We introduced four heuristic features, also considering thirteen adjusted quadratic features described in a previous paper. We solved a problem of selecting the smallest feature subset in order to provide the linear separability of the feature vectors from the learning sample in the corresponding feature space. During the experimental studies we found that the subset of four heuristic features fulfils the separability condition as well as the subset including three quadratic features and one heuristic feature does.
Keywords: texture analysis, feature selection, computer-aided diagnosis, osteoporosis, linear classifier, polynomial features.
Funding agency Grant number
Russian Foundation for Basic Research 14-07-97040-ð_ïîâîëæüå_à
16-41-630761 ð_à
16-41-732041-ð-îôè_ì
Ministry of Education and Science of the Russian Federation
Russian Academy of Sciences - Federal Agency for Scientific Organizations
The work was partially funded by the Russian Foundation of Basic Research (grants 14-07-97040-ð_ïîâîëæüå_à,16-41-630761 ð_à and 16-41-732041), the Russian Federation Ministry of Education and Science as part of Samara University's com-petitiveness enhancement program in 2013-2020 and the RAS basic research program "Bio-informatics, modern information technologies and mathematical methods in medicine".
Received: 29.08.2016
Accepted: 01.11.2016
Document Type: Article
Language: Russian
Citation: A. V. Gaidel, V. R. Krasheninnikov, “Feature selection for diagnozing the osteoporosis by femoral neck X-ray images”, Computer Optics, 40:6 (2016), 939–946
Citation in format AMSBIB
\Bibitem{GaiKra16}
\by A.~V.~Gaidel, V.~R.~Krasheninnikov
\paper Feature selection for diagnozing the osteoporosis by femoral neck X-ray images
\jour Computer Optics
\yr 2016
\vol 40
\issue 6
\pages 939--946
\mathnet{http://mi.mathnet.ru/co347}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-6-939-946}
Linking options:
  • https://www.mathnet.ru/eng/co347
  • https://www.mathnet.ru/eng/co/v40/i6/p939
  • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024