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portada Image Processing Applied to Melanoma Detection: Designing an Automatic System With High Sensitivity (in German)
Type
Physical Book
Publisher
Author
Language
German
Pages
62
Format
Paperback
ISBN13
9783668071513

Image Processing Applied to Melanoma Detection: Designing an Automatic System With High Sensitivity (in German)

Elyoenai Guerra-Segura; Carlos M Travieso-González; Jesús B Alonso-Hernández (Author) · Grin Verlag · Paperback

Image Processing Applied to Melanoma Detection: Designing an Automatic System With High Sensitivity (in German) - Elyoenai Guerra-Segura; Carlos M Travieso-González; Jesús B Alonso-Hernández

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NT$ 1,132

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Synopsis "Image Processing Applied to Melanoma Detection: Designing an Automatic System With High Sensitivity (in German)"

Technischer Bericht aus dem Jahr 2015 im Fachbereich Medizin - Dermatologie, Note: 10/10 with special mention, Universidad de Las Palmas de Gran Canaria, Sprache: Deutsch, Abstract: This book tries to show the basic steps a classification system should take into account when trying to solve a classification problem. This does not mean all systems have to follow this guide. It only gives the normal steps to study when developing a classification system. In particular, this work shows the steps followed when applying a classification system in order to classify melanocytic lesions as melanoma or moles. As mentioned before, this guide is based on a well-known problem. The problem studied is the classification of melanocytic lesions as melanocytic nevus or melanoma cancer. This work has been developed with the collaboration of Hospital Universitario de Gran Canaria Doctor Negrín. The idea of writing this guide is based on the results obtained and the systems applied. The main results has been published in E. Guerra-Segura, C. Travieso-González, J. Alonso-Hernández, A. Ravelo-García, and G. Carretero, "Symmetry Extraction in High Sensitivity Melanoma Diagnosis," Symmetry (Basel)., vol. 7, pp. 1061-1079, 2015.. In this guide all the particular process followed in order to get the published results is explained. The general steps of a classification system are only shown briefly.

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