Melanoma CADe based on ABCD Rule and Haralick Texture Features

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509022663
DOIs
StatePublished - 9 Aug 2016
Event9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016 - Kharkiv, Ukraine
Duration: 20 Jun 201624 Jun 2016

Publication series

Name9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016

Conference

Conference9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
Country/TerritoryUkraine
CityKharkiv
Period20/06/1624/06/16

Keywords

  • Dermoscopy
  • SVM
  • colors
  • features
  • k-means
  • segmentation
  • shape
  • texture

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