Software for the detection of melanoma through the recognition of images and artificial neural networks

dc.contributor.advisor	Alférez Salinas, Germán Harvey
dc.contributor.author	Cristofer Iván, Marín Vergara
dc.date.accessioned	2019-11-13T20:41:46Z
dc.date.available	2019-11-13T20:41:46Z
dc.date.issued	2015
dc.identifier.uri	https://dspace.um.edu.mx/handle/20.500.11972/1170
dc.description.abstract	Ingeniería en Sistemas Computacionales	es_MX
dc.description.abstract	The objective of this study is to develop a software that detects melanoma in nevus in a way that is automatic, easy, noninvasive, objective and at a low cost using as the basis of the analysis the “ABCDE” of lesions along with the processing of images and artificial neural networks. The software’s evaluation was made with cases previously diagnosed with malignant melanoma and with cases of suspicious moles. The evaluation showed a sensibility of 76.56% and specificity in 87.58%
dc.format	application/pdf	es_MX
dc.language.iso	eng	es_MX
dc.rights	Acceso abierto
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject	Neoplasmas
dc.subject	Enfermedades de la piel
dc.subject	Programas para computador
dc.subject	Redes neurales (computadores)	es_MX
dc.title	Software for the detection of melanoma through the recognition of images and artificial neural networks	es_MX
dc.type	info:eu-repo/semantics/bachelorThesis	es_MX

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