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Reseach Article

Automatic Detection of Melanoma Skin Cancer using Texture Analysis

by Mai S.mabrouk, Mariam A.sheha, Amr Sharawy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 20
Year of Publication: 2012
Authors: Mai S.mabrouk, Mariam A.sheha, Amr Sharawy
10.5120/5817-8129

Mai S.mabrouk, Mariam A.sheha, Amr Sharawy . Automatic Detection of Melanoma Skin Cancer using Texture Analysis. International Journal of Computer Applications. 42, 20 ( March 2012), 22-26. DOI=10.5120/5817-8129

@article{ 10.5120/5817-8129,
author = { Mai S.mabrouk, Mariam A.sheha, Amr Sharawy },
title = { Automatic Detection of Melanoma Skin Cancer using Texture Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 20 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number20/5817-8129/ },
doi = { 10.5120/5817-8129 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:13.116947+05:30
%A Mai S.mabrouk
%A Mariam A.sheha
%A Amr Sharawy
%T Automatic Detection of Melanoma Skin Cancer using Texture Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 20
%P 22-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Melanoma is considered the most dangerous type of skin cancer. Early and accurate diagnosis depends mainly on important issues, accuracy of feature extracted and efficiency of classifier method. This paper presents an automated method for melanoma diagnosis applied on a set of dermoscopy images. Features extracted are based on gray level Co-occurrence matrix (GLCM) and Using Multilayer perceptron classifier (MLP) to classify between Melanocytic Nevi and Malignant melanoma. MLP classifier was proposed with two different techniques in training and testing process: Automatic MLP and Traditional MLP. Results indicated that texture analysis is a useful method for discrimination of melanocytic skin tumors with high accuracy. The first technique, Automatic iteration counter is faster but the second one, Default iteration counter gives a better accuracy, which is 100 % for the training set and 92 % for the test set.

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Index Terms

Computer Science
Information Sciences

Keywords

Texture Analysis Glcm Cad Melanocytic Nevi Melanoma Ann Mlp