Abstract
The paper presents a new strategy for noninvasive diagnosis of melanocytic skin lesions which differs from European research focused mostly on methodology of classification of tumors, description of some symptoms and pigment changes in the phase of incurable disease or in the disease requiring a surgical intervention. The new method is based on applying visual methods presenting the parameters describing the disease as well as on methods of automatic visual analysis in the process of extraction of lesion features. The proposed system utilizes two new algorithms: hybrid synthesis of medical images and automatic analysis of digital images.
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References
Argenziano, G., Fabbrocini, G., Carli, P., De Giorgi, V., Sammarco, E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch Dermatol. 134, 1563–1570 (1998)
Breslow, A.: Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma. Ann. Surg. 172(5), 902–908 (1970)
Blajdo, P., Grzymala-Busse, J.W., Hippe, Z.S., Knap, M., Marek, T., Mroczek, T., Wrzesień, M.: A suite of machine learning programs for data mining: chemical application. In: Debska, B., Fic, G. (eds.) Information Systems in Chemistry, vol. 2, pp. 7–14. University of Technology Editorial Office (2004)
Cudek, P., Paja, W., Wrzesień, M.: Automatic System for Classification of Melanocytic Skin Lesions Based on Images Recognition. In: Czachórski, T., Kozielski, S., Stańczyk, U. (eds.) Man-Machine Interactions 2. AISC, vol. 103, pp. 189–196. Springer, Heidelberg (2011)
Grzymala-Busse, J.W., Hippe, Z.S., Knap, M., Mroczek, T.: A New algorithm for generation of decision trees. TASK Quarterly 8(2), 243–247 (2004)
Grzymała-Busse, J.W., Hippe, Z.S., Mroczek, T.: Deriving Belief Networks and Belief Rules from Data: A Progress Report. In: Peters, J.F., Skowron, A., Marek, V.W., Orłowska, E., Słowiński, R., Ziarko, W.P. (eds.) Transactions on Rough Sets VII. LNCS, vol. 4400, pp. 53–69. Springer, Heidelberg (2007)
Hippe, Z.S., Mroczek, T.: Melanoma classification and prediction using belief networks. In: Kurzyński, M., Puchała, E., Woźniak, M. (eds.) Computer Recognition Systems, pp. 337–342. Univ. of Technology Edit. Office (2003)
Hippe, Z.S., Piatek, L.: Synthesis of Static Medical Images – an Example of Melanocytic Skin Lesions. In: Computer Recognition System 2. Advances in Soft Computing, vol. 45, pp. 503–509 (2007)
Hippe, Z.S., Grzymala-Busse, J.W., Blajdo, P., Knap, M., Mroczek, T., Paja, W., Wrzesien, M.: Classification of medical images in the domain of melanoma skin lesions. Advances in Soft Computing 30, 519–526 (2005)
Hippe, Z.S., Grzymala-Busse, J.W., Piatek, L.: Synthesis of medical images in the domain of melanocytic skin lesions. In: Information Technologies in Biomedicine. Advances in Soft Computing, vol. 47, pp. 225–231 (2008)
Hippe, Z.S., Grzymała-Busse, J.W., Piątek, Ł.: Synthesis of static medical images with an active shape model. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds.) Man-Machine Interactions. AISC, vol. 59, pp. 429–434. Springer, Heidelberg (2009)
Menzies, S.W.: Surface microscopy of pigmented skin tumors. Australas. J. Dermatol. 38, 40–43 (1997)
Stolz, W., Braun-Falco, O., Bilek, P., Landthaler, M., Burgdorf, W., Cognetta, A.: Atlas of Dermatoscopy. Czelej Edit. Office, Lublin (2006)
http://www.cancer.org/Cancer/CancerCauses/SunandUVExposure/skin-cancer-facts (accessed October 4, 2013)
http://skincancer.about.com/od/skincancerbasics/a/Melanoma.htm (accessed October 4, 2013)
http://www.dermoncology.com/ (accessed October 6, 2013)
http://www.pless.fr/dermatoscopie/ (accessed October 6, 2013)
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Mroczek, T. (2014). Mobile Melanoma Diagnosing System – A Preliminary Attempt. In: Hippe, Z., Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-08491-6_18
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DOI: https://doi.org/10.1007/978-3-319-08491-6_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08490-9
Online ISBN: 978-3-319-08491-6
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