ZBIORY POZIOMICOWE I ALGORYTMY INTELIGENCJI OBLICZENIOWEJ DO ANALIZY OBRAZÓW MEDYCZNYCH W SYSTEMIE E-MEDICUS

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, 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. DermC.atol. 2002.
  Google Scholar

Kamińska J., Winciorek G.: Dermatologia cyfrowa, Cornetis 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, vol. 17 (10), 2008, 1940-1949.
  Google Scholar

Mumford D., Shah J.: Optimal approximation by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math., 42, 1989, 577–685.
  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, Electrical Review, 7b/2012, 138–140.
  Google Scholar

Rymarczyk T., Osior K.: E-Medicus System for Analysis and Images Segmentation, 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

Sadowski T, Rymarczyk T.: Method for Segmentation Medical Images of Thorax and Detecting Anomalies, WD2014, 2014.
  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

Xiong G., Zhou X., Ji L., Bradley P., Perrimon N., Wong S.: Automated Segmentation of Drosophila RNAi Fluorescence Cellular Images using Deformable Models, IEEE Transactions on Circuits and Systems, Vol. 53, No. 11, 2006, 2415–2424.
  Google Scholar