Melanoma CADe based on ABCD Rule and Haralick Texture Features

J. A. Almaraz-Damian, V. Ponomaryov, E. Rendon-Gonzalez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

17 Citas (Scopus)

Resumen

Melanoma is a disease with elevated rates of apparition in the world and the dermoscopy procedures help the physicians to get a correct diagnose of this disease. In this paper, we propose a system CADe to extract features of such type of images, based on designed algorithm that uses ABCD Rule and Textural Features to get a final classification via Support Vector Machine.

Idioma originalInglés
Título de la publicación alojada9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509022663
DOI
EstadoPublicada - 9 ago. 2016
Evento9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016 - Kharkiv, Ucrania
Duración: 20 jun. 201624 jun. 2016

Serie de la publicación

Nombre9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016

Conferencia

Conferencia9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
País/TerritorioUcrania
CiudadKharkiv
Período20/06/1624/06/16

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