ANALYSIS MEDICAL AND STEREOSCOPIC IMAGES BY E-MEDICUS SYSTEM

Tomasz Rymarczyk

tomasz.rymarczyk@netrix.com.pl
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin (Poland)

Abstract

In this work, there were implemented methods to analyze and segmentation medical images by using different kind of algorithms. The solution shows the architecture of the system collecting and analyzing data. There was tried to develop an algorithm for level set method applied to piecewise constant image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. With the use of modern algorithms, it can obtain a quicker diagnosis and automatically marking areas of the interest region in medical images.


Keywords:

segmentation, image analysis, level set method

Argenziano G., Soyer P.H., De Giorgi V., Piccolo D.: Interactive atlas of dermatoscopy, EDRA 2000.
  Google Scholar

Balla-Arabe S., Gao X.: A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. IEEE Trans Cybern. 43(3), 2013.
  Google Scholar

Braun R.P., Rabinovitz H.S.: Dermoscopy of pigmented skin lesions. J. Am. Acad. Dermatol. 52, 2005, 109–121.
  Google Scholar

Gdula A., Rymarczyk T.: Application Computational Algorithms for Analysis of Dental Image. Proc. of WD 2015.
  Google Scholar

Jajuga K.: Statystyczna teoria rozpoznawania obrazów. PWN. Warszawa 1990.
  Google Scholar

Johr R.H.: Dermoscopy: Alternative melanocytic algorithms-the ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist. Clin Dermatol. 20(3), 2002, 240–247.
  Google Scholar

Kamińska J., Winciorek G.: Dermatologia cyfrowa. Cornetis. Wrocław 2008.
  Google Scholar

Kurzyński M.: Rozpoznawanie obiektów. Metody statystyczne. Oficyna Wydawnicza Politechniki Wrocławskiej. Wrocław 1997.
  Google Scholar

Li C., Kao C., Gore J. C., Ding Z.: Minimization of Region-Scalable Fitting Energy for Image Segmentation. IEEE Trans. Image Processing 17 (10), 2008, 1940–1949.
  Google Scholar

Mumford D., Shah J.: Optimal approximation by piecewise smooth functions and associated variational problems. Communications on Pure and Applied Mathematics 42(5), 1989, 577–685 [DOI: 10.1002/cpa.3160420503].
  Google Scholar

Osher S., Fedkiw R.: Level Set Methods and Dynamic Implicit Surfaces. Springer. New York 2003.
  Google Scholar

Osher S., Sethian J.A.: Fronts Propagating with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations. Journal of Computational Physics 79, 1988, 12–49.
  Google Scholar

Ossowski S.: Sieci neuronowe do przetwarzania informacji. Politechnika Warszawska. Warszawa 2006.
  Google Scholar

Osowski S., Markiewicz T., Kruk M., Kozłowski W.: Metody sztucznej inteligencji do wspomagania diagnostyki patologii tkanek. WAT. Warszawa 2011.
  Google Scholar

Rymarczyk T.: Characterization of the shape of unknown objects by inverse numerical methods. Przegląd Elektrotechniczny 7b/2012, 138–140,
  Google Scholar

Rymarczyk T., Osior K.: E-Medicus System for Analysis and Images Segmentation. Proc. of. IIPhWD 2013.
  Google Scholar

Rymarczyk T., Filipowicz S.F., Sikora J., Polakowski K.: A piecewise-constant minimal partition problem in the image reconstruction. Przegląd Elektrotechniczny 12/2009, 141–143.
  Google Scholar

Sethian J.A.: Level Set Methods and Fast Marching Methods. Cambridge University Press, 1999.
  Google Scholar

Stąpor K.: Metody klasyfikacji obiektów w wizji komputerowej. Wydawnictwo Naukowe PWN. Warszawa 2011.
  Google Scholar

Stolz W., Braun-Falco O.: Color atlas of dermatoscopy. Blackwell Science, 1994.
  Google Scholar

Vese L. Chan T.: A new multiphase level set framework for image segmentation via the Mumford and Shah model. CAM Report 01-25, UCLA Math. Dept., 2001.
  Google Scholar

Download


Published
2018-05-30

Cited by

Rymarczyk, T. (2018). ANALYSIS MEDICAL AND STEREOSCOPIC IMAGES BY E-MEDICUS SYSTEM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 8(2), 54–57. https://doi.org/10.5604/01.3001.0012.0707

Authors

Tomasz Rymarczyk 
tomasz.rymarczyk@netrix.com.pl
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin Poland

Statistics

Abstract views: 229
PDF downloads: 130