TELKOMNIKA Telecommunication, Computing, Electronics and Control
Detection of uveal melanoma using fuzzy and neural networks classifiers
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Detection of uveal melanoma using fuzzy and neural networks classifiers
Detection of uveal melanoma using fuzzy and neural networks classifiers
Subject
Fuzzy Systems, Image processing, Neural networks, Uveal melanoma
Description
The use of image processing is increasingly utilized for disease detection. In this article, an algorithm is proposed to detect uveal melanoma (UM) which is a type of intraocular cancer. The proposed method integrates algorithms related to iris segmentation and proposes a novel algorithm for the detection of UM from the approach of fuzzy logic and neural networks. The study case results show 76% correct classification in the fuzzy logic system and 96.04% for the artificial neural networks.
Creator
Daniel F. Santos, Helbert E. Espitia
Source
DOI: 10.12928/TELKOMNIKA.v18i4.14228
Publisher
Universitas Ahmad Dahlan
Date
August 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Language
English
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Daniel F. Santos, Helbert E. Espitia, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Detection of uveal melanoma using fuzzy and neural networks classifiers,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/3968.
Detection of uveal melanoma using fuzzy and neural networks classifiers,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/3968.