Path: Top -> Journal -> Telkomnika -> 2020 -> Vol 18, No 4, August

Detection of uveal melanoma using fuzzy and neural networks classifiers

Journal from gdlhub / 2021-01-20 15:24:37
Oleh : Daniel F. Santos, Helbert Eduardo Espitia, Telkomnika
Dibuat : 2021-01-19, dengan 1 file

Keyword : fuzzy systems; image processing; neural networks; uveal melanoma;
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/14228
Sumber pengambilan dokumen : web

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.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiTelkomnika
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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