Intelligent System for Diagnosis of Erythema Migrans

REFERENCES

• Abbas, Q., I. Fondón, and M. Rashid. 2011. Unsupervised skin lesions border detection via two-dimensional image analysis. Computer Methods and Programs in Biomedicine 104:e1–e15.
   PubMed Web of Science ®Google Scholar
• Abbas, Q., M. E. Celebi, and I. Fondon. 2012. Computer-aided pattern classification system for dermoscopy images. Skin Research and Technology 18:278–289.
   PubMed Web of Science ®Google Scholar
• Abbas, Q., M. E. Celebi, C. Serrano, I. Fondón García, and G. Ma. 2013. Pattern classification of dermoscopy images: A perceptually uniform model. Pattern Recognition 46:86–97.
   Web of Science ®Google Scholar
• Avci, E. 2012. A new expert system for diagnosis of lung cancer: GDA–LS_SVM. Journal of Medical Systems 36:2005–2009.
   PubMed Web of Science ®Google Scholar
• Ayoub, A., A. Hajdu, and A. Nagy. 2012. Automatic detection of pigmented network in melanoma dermoscopic images. The International Journal of Computer Science and Communication Security 2:58–63.
   Google Scholar
• Barbosa, F. D. S., K. L. Devito, and W. N. Felippe Filho. 2009. Using a neural network for supporting radiographic diagnosis of dental caries. Applied Artificial Intelligence 23:872–882.
   Web of Science ®Google Scholar
• Blum, A., H. Luedtke, U. Ellwanger, R. Schwabe, G. Rassner, and C. Garbe. 2004. Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions. British Journal of Dermatology 151:1029–1038.
   PubMed Web of Science ®Google Scholar
• Burroni, M., P. Sbano, G. Cevenini, M. Risulo, G. Dell’eva, P. Barbini, C. Miracco, M. Fimiani, L. Andreassi, and P. Rubegni. 2005. Dysplastic naevus vs. in situ melanoma: Digital dermoscopy analysis. British Journal of Dermatology 152:679–684.
   PubMed Web of Science ®Google Scholar
• Celebi, M. E., H. Iyatomi, and G. Schaefer. 2009. Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure. Paper presented at the 16th IEEE International Conference on Image Processing, November 07–10, Cairo, Egypt, 2601–2604.
   Google Scholar
• Celebi, M. E., H. A. Kingravi, B. Uddin, H. Iyatomi, Y. A. Aslandogan, W. V. Stoecker, and R. H. Moss. 2007. A methodological approach to the classification of dermoscopy images. Computerized Medical Imaging and Graphics 31:362–373.
   PubMed Web of Science ®Google Scholar
• Couprie, C., L. Najman, and H. Talbot. 2011. Seeded segmentation methods for medical image analysis. In Medical image processing: Techniques and applications, ed. G. Dougherty, 27–57. New York, NY: Springer Science + Business Media.
   Google Scholar
• De Toro, F., J. Aroba, and E. Ros. 2011. Computer-aided diagnosis of the paroxysmal atrial fibrillation: A fuzzy–evolutionary approach. Applied Artificial Intelligence 25:590–608.
   Web of Science ®Google Scholar
• Felzenszwalb, P., and D. Huttenlocher. 2004. Efficient graph-based image segmentation. International Journal of Computer Vision 59:167–181.
   Web of Science ®Google Scholar
• Garnavi, R., M. Aldeen, and J. Bailey. 2012. Computer-aided diagnosis of melanoma using border and wavelet-based texture analysis. IEEE Transactions on Information Technology in Biomedicine 16(6):1239–1252.
   PubMed Web of Science ®Google Scholar
• He, L., Z. Peng, B. Everding, X. Wang, C. Y. Han, K. L. Weiss, and W. G. Wee. 2008. A comparative study of deformable contour methods on medical image segmentation. Image and Vision Computing 26:141–163
   Web of Science ®Google Scholar
• Huttunen, H., J. P. Ryynanen, H. Forsvik, V. Voipio, and H. Kikuchi. 2011. Kernel Fisher discriminant and elliptic shape model for automatic measurement of allergic reactions. In Image analysis, 764–773. Berlin, Heidelberg: Springer.
   Google Scholar
• Issac Niwas, S., P. Palanisamy, R. Chibbar, and W. J. Zhang. 2012. An expert support system for breast cancer diagnosis using color wavelet features. Journal of Medical Systems 36:3091–3102.
   PubMed Web of Science ®Google Scholar
• Iyatomi, H., H. Oka, M. E. Celebi, M. Hashimoto, M. Hagiwara, M. Tanaka, and K. Ogawa. 2008. An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Computerized Medical Imaging and Graphics 32:566–579.
   PubMed Web of Science ®Google Scholar
• Kamarainen, J. K., V. Kyrki, and H. Kalviainen. 2006. Invariance properties of Gabor filter-based features-overview and applications. IEEE Transactions on Image Processing 15:1088–1099.
   PubMed Web of Science ®Google Scholar
• Kass, M., A. Witkin, and D. Terzopoulos. 1988. Snake: Active contour models. International Journal of Computer Vision 1:321–331.
   Web of Science ®Google Scholar
• Kononenko, I., and M. Kukar. 2007. Measures for performance evaluation. In Machine learning and data mining, 68–81. Chichester, UK: Horwood Publishing Ltd.
   Google Scholar
• Kononenko, I., E. Šimec, and M. Robnik-Šikonja. 1997. Overcoming the myopia of inductive learning algorithms with RELIEFF. Applied Intelligence 7:39–55.
   Web of Science ®Google Scholar
• Lavrač, N., I. Kononenko, E. Keravnou, M. Kukar, and B. Zupan. 1998. Intelligent data analysis for medical diagnosis: Using machine learning and temporal abstraction. AI Communications 11:191–218.
   Web of Science ®Google Scholar
• LeAnder, R., P. Chindam, M. Das, and S. E. Umbaugh. 2010. Differentiation of melanoma from benign mimics using the relative-color method. Skin Research and Technology 16:297–304.
   PubMed Web of Science ®Google Scholar
• Maglogiannis, I., and N. D. Charalampos. 2009. Overview of advanced computer vision systems for skin lesions characterization. IEEE Transactions on Information Technology in Biomedicine 13:721–733.
   PubMed Web of Science ®Google Scholar
• MathWorks. 2012a. Maketform. http://www.mathworks.com/help/images/ref/maketform.html ( accessed December 19, 2012).
   Google Scholar
• MathWorks. 2012b. Regionprops. http://www.mathworks.com/help/images/ref/regionprops.html ( accessed December 21, 2012).
   Google Scholar
• MathWorks. 2013a. Fft2. http://www.mathworks.com/help/vision/ref/2dfft.html ( accessed July 8, 2013).
   Google Scholar
• MathWorks. 2013b. Ifft2. http://www.mathworks.com/help/vision/ref/2difft.html ( accessed July 8, 2013).
   Google Scholar
• McInerney, T., and D. Terzopoulos. 1996. Deformable models in medical image analysis: A survey. Medical Image Analysis 1:91–108.
   PubMedGoogle Scholar
• Ning, J., D. Zhang, C. Wu, and F. Yue. 2010. Automatic tongue image segmentation based on gradient vector flow and region merging. Neural Computing and Applications 21:1819–1826.
   Web of Science ®Google Scholar
• Patwardhan, S. V., A. P. Dhawan, and P. A. Relue. 2003. Classification of melanoma using tree structured wavelet transforms. Computer Methods and Programs in Biomedicine 72:223–239.
   PubMed Web of Science ®Google Scholar
• Paul, B., L. Zhang, and X. Wu. 2005. Canny edge detection enhancement by scale multiplication. IEEE Transactions on Pattern Analysis and Machine Intelligence 27:1485–1490.
   PubMed Web of Science ®Google Scholar
• Peng, B., L. Zhang, and J. Yang. 2009. Iterated graph cuts for image segmentation. In Computer vision-ACCV, 677–686. Berlin, Heidelberg: Springer.
   Google Scholar
• Robnik-Šikonja, M., and I. Kononenko. 1997. An adaptation of Relief for attribute estimation in regression. In Machine learning: Proceedings of the fourteenth international conference, 296–304. San Francisco, CA, USA: Morgan Kaufmann.
   Google Scholar
• Robnik-Šikonja, M., and I. Kononenko. 2003. Theoretical and empirical analysis of ReliefF and RReliefF. Machine Learning 53:23–69.
   Web of Science ®Google Scholar
• Roullot, E., J. E. Autegarden, P. Devriendt, and F. Leynadier. 2005. Segmentation of erythema from skin photographs for assisted diagnosis in allergology. In Pattern recognition and image analysis, 754–763. Berlin, Heidelberg: Springer.
   Google Scholar
• Safi, A., M. Baust, O. Pauly, V. Castaneda, T. Lasser, D. Mateus, N. Navab, R. Hein, and M. Ziai. 2012. Computer-aided diagnosis of pigmented skin dermoscopic images. Lecture Notes in Computer Science 7075:105–115.
   Google Scholar
• Stanek, G., V. Fingerle, K. P. Hundfeld, B. Jaulhac, R. Kaiser, A. Krause, W. Kristoferitsch, S. O’Connell, K. Ornstein, F. Strle, and J. Gray. 2011. Lyme borreliosis: Clinical case definitions for diagnosis and management in Europe. Clinical Microbiology and Infection 17:69–79.
   PubMed Web of Science ®Google Scholar
• Stanek, G., G. P. Wormser, J. Gray, and F. Strle. 2012. Lyme borreliosis. Lancet 379:461–473.
   PubMed Web of Science ®Google Scholar
• Steere, A. C. 2001. Lyme disease. New England Journal of Medicine 345:115–125.
   PubMed Web of Science ®Google Scholar
• Steere, A. C., J. Coburn, and L. Glickstein. 2004. The emergence of Lyme disease. Journal of Clinical Investigation 113:1093–1101.
   PubMed Web of Science ®Google Scholar
• Strle, F., and G. Stanek. 2009. Clinical manifestations and diagnosis of Lyme borreliosis. Current Problems in Dermatology 37:51–110.
   PubMedGoogle Scholar
• Übeyli, E. D., and E. Doğdu. 2008. Automatic detection of erythemato-squamous diseases using k-means clustering. Journal of Medical Systems 34:179–184.
   Web of Science ®Google Scholar
• Vezhnevets, V., and V. Konouchine. 2005. “GrowCut”– Interactive multi-label N-D image segmentation by cellular automata. In Proceedings of Graphicon, Novosibirsk Akademgorodok, Russia, June 20–24 150–156.
   Google Scholar
• Vila-Francés, J., J. Sanchís, E. Soria-Olivas, A. J. Serrano, M. Martínez-Sober, C. Bonanad, and S. Ventura. 2013. Expert system for predicting unstable angina based on Bayesian networks. Expert Systems with Applications 40(12):5004–5010.
   Web of Science ®Google Scholar
• Vincent, L., and P. Soille. 1991. Watersheds in digital spaces: An efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence 13:583–598.
   Web of Science ®Google Scholar
• Wighton, P., M. Sadeghi, T. K. Lee, and M. S. Atkins. 2009. A fully automatic random walker segmentation for skin lesions in a supervised setting. In Medical image computing and computer-assisted intervention, 1108–1115. Berlin, Heidelberg: Springer.
   Google Scholar
• Zhang, L., and B. Paul. 2002. Edge detection by scale multiplication in wavelet domain. Pattern Recognition Letters 23:1771–1784.
   Web of Science ®Google Scholar
• Zhang, K., H. Song, and L. Zhang. 2010. Active contours driven by local image fitting energy. Pattern Recognition 43:1199–1206.
   Web of Science ®Google Scholar
• Zhang, X., X. Xu, and Y. Cai. 2009. Tongue image classification based on the TSVM. Paper presented at the 2nd International Congress on Image Signal Processing (CISP), Tianjin, China, October 17–19, 1–4.
   Google Scholar
• Zolnoori, M., M. H. F. Zarandi, M. Moin, H. Heidarnezhad, and A. Kazemnejad. 2012. Computer-aided intelligent system for diagnosing pediatric asthma. Journal of Medical Systems 36:809–822.
   PubMed Web of Science ®Google Scholar