Open Access
MATEC Web Conf.
Volume 76, 2016
20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
Article Number 05002
Number of page(s) 8
Section Signal Processing
Published online 21 October 2016
  1. E. Claridge, P.N. Hall, M. Keefe, J.P. Allen, Shape Analysis for Classification of Malignant Melanoma, JBE 14 (3), 229–234 (1992) [Google Scholar]
  2. K. Klein, T. Maier, V.C. Hirschfeld-Warneken, J.P. Spatz, Marker-Free Phenotyping of Tumor Cells by Fractal Analysis of Reflection Interference Contrast Microscopy Images, NL, ACS Publications, American Chemical Society, | Nano Lett. 2013, 13, 5474–5479 (2013) [Google Scholar]
  3. P.Y. Kim, K.M. Iftekharuddin, P.G. Davey, M. Toth, A. Garas, G. Hollo, E.A. Essock, Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction, BHI, IEEE Journal of, 17, no.2, pp.269-276 (March 2013), doi: 10.1109/TITB.2012.2218661 [Google Scholar]
  4. M. Mastrolonardo, E. Conte, J.P. Zbilut, 2006. A fractal analysis of skin pigmented lesions using the novel tool of the variogram technique, CSF, 28, 1119–1135 (2006) [Google Scholar]
  5. A. Piantanelli, P. Maponi, L. Scalise, S. Serresi, A. Cialabrini, A. Basso, Fractal characterisation of boundary irregularity in skin pigmented lesions, MBEC. Jul; 43 (4), 436–42 (2005) [Google Scholar]
  6. E. Zagrouba, W. Barhoumi, A preliminary approach for the automated recognition of malignant melanoma, IAS, 23, 121–135 (2004) [Google Scholar]
  7. R. Dobrescu, M. Dobrescu, S. Mocanu and D. Popescu, Medical Images Classification for Skin Cancer Diagnosis Based on Combined Texture and Fractal Analysis, WSEAS Transactions on Biology and Biomedicine, 7, no. 3, pp. 223–232 (2010) [Google Scholar]
  8. R. Lopes, N. Betrouni, Fractal and multifractal analysis: A review, Medical Image Analysis, 13, 634–649 (2009) [CrossRef] [Google Scholar]
  9. S. Criscuoli, M.P. Ras, I. Ermolli and M. Centrone, On the reliability of the fractal dimension measure of solar magnetic features and on its variation with solar activity, AA, 461, 331-338 (2007), DOI: 10.1051/0004-6361:20065951 [Google Scholar]
  10. H. Ahammer, T.T.J. DeVaney, The influence of edge detection algorithms on the estimation of the fractal dimension of binary digital images, C, 14(1):183–8 (2004) [Google Scholar]
  11. B. Braverman, M. Tambasco, Scale-Specific Multifractal Medical Image Analysis, CMMM, 2013, Hindawi Publishing Corporation, Article ID 262931, 11 pages, (2013) [Google Scholar]
  12. A.R. Martin, N. Sabathiel, H. Ahammer, Noise dependency of algorithms for calculating fractal dimensions in digital images, CSF, 78, 39–46, (2015) [Google Scholar]
  13. B. Mandelbrot, The Fractal Geometry of Nature, (W. H. Freeman, San Francisco, 1982) [Google Scholar]
  14. K. J. Falconer, Fractal Geometry. Mathematical foundations and Applications, John Wiley and Sons, England (1990) [Google Scholar]
  15. M. F. Barnsley, Fractals everywhere, Academic Press, USA (1988) [Google Scholar]
  16. E. Hadzieva, D. C. Bogatinoska, Lj. Gjergjeska, M. Shuminoska, R. Petreski, Review of the Software Tools for Estimating the Fractal Dimension, S. Loshkovska, S. Koceski (Editors): ICT Innovations 2015, Web Proceedings, ISSN 1857-7288, p. 201–211 (2015) [Google Scholar]
  17. O. Zmeškal, M. Vesely, M. Nezadal, M. Buchniček, Fractal Analysis of Image Structures, HarFA - Harmonic and Fractal Image Analysis, 3–5, (2001) [Google Scholar]
  18. M. E. Celebi, A. Aslandogan, W. V. Stoecker, Unsupervised Border Detection in Dermoscopy Images, SRT, 13(4): 454–462 (2007) [Google Scholar]
  19. M. E. Celebi, H. Kingravi, H. Iyatomi, A. Aslandogan, W. V. Stoecker, R. H. Moss, Border Detection in Dermoscopy Images Using Statistical Region Merging, SRT, 14(3): 347–353 (2008) [Google Scholar]
  20. M. E. Celebi, H. Iyatomi, G. Schaefer, W. V. Stoecker, Lesion Border Detection in Dermoscopy Images, CMIG, 33(2): 148–153 (2009) [Google Scholar]
  21. M. E. Celebi, Q. Wen, S. Hwang, H. Iyatomi, G. Schaefer, Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods, Skin Research and Technology, 19(1): e252–258 (2013) [CrossRef] [Google Scholar]
  22. S. Angenent, E. Pichon, A. Tannenbaum, Mathematical Methods in Medical Image Processing, BAMS. 43, 365–396 (2006). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.