Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/111317
Título: Image Processing applied to melanoma detection
Autores/as: Guerra Segura, Elyoenai 
Travieso-González, Carlos M. 
Alonso Hernández, Jesús B. 
Clasificación UNESCO: 3314 Tecnología médica
Fecha de publicación: 2015
Editor/a: GRIN Publishing Ltd.
Resumen: 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 [1]. 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. Almost all the images are extracted from the original work and the paper named before. All the images shown in this guide were obtained by the authors.
URI: http://hdl.handle.net/10553/111317
ISBN: 978-3-668-07151-3
Colección:Libro
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