An artificial neural network approach for detecting skin cancer

Sugiarti, Sugiarti and Yuhandri, Yuhandri and Na'am, Jufriadif and Indra, Dolly and Santony, Julius (2019) An artificial neural network approach for detecting skin cancer. TELKOMNIKA (Telecommunication Computing Electronics and Control), 17 (2). pp. 788-793. ISSN 1693-6930

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Official URL/ URL Asal/ URL DOI: http://doi.org/10.12928/TELKOMNIKA.v17i2.9547

Abstract

This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88,88%, respectively. The 4 sets of training used consisted of 23 images. Of the 23 images used as a training consisted of 6 as not suspected of melanoma images and 17 as suspected melanoma images. Keywords: artificial neural network, first-order feature extraction, melanoma, multilayer perceptron

Item Type: Article
Subjects: 0 Research > Ilmu Komputer > Image Processing
0 Research > Ilmu Komputer > Komputasi Lembut
0 Research > Ilmu Komputer > Teknologi Kesehatan
Divisions/ Fakultas/ Prodi: Fakultas Ilmu Komputer
Depositing User: Administrator
Date Deposited: 27 Aug 2021 06:31
Last Modified: 27 Aug 2021 06:31
URI: http://repository.upiyptk.ac.id/id/eprint/2997

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