@inproceedings{57f17320ea934fe3bddb5efb7a9b2b70,
title = "Comparison of back-propagation ANN and Na{\"i}ve-Bayes method in identifying lung X-ray images",
abstract = "This paper presents the results of a comparison of two methods for the identification of X-ray images of the lungs, namely the ANN back-propagation method and the Nai{"}ve-Bayes method. The ANN back-propagation method works based on the final weighting of each network as a result of the identification training process. The Nai{"}ve-Bayes method works based on the probabilities of each characteristic of the identification training process. The process of identifying X-ray images of the lungs is carried out based on the extraction of histogram features on X-ray images of the lungs to be identified into three groups, namely X-ray images of normal lungs, X-ray images of lung cancer, and an X- ray image of the lung affected by effusion. This study aims to compare the strengths or weaknesses between the weight- based ANN back-propagation method and the probability-based Nai{"}ve-Bayes method in the ability to identify lung X-ray images. The results of this study indicate that the Nai{"}ve-Bayes method is superior to ANN back-propagation in identifying X-ray images of lungs.",
author = "Bustomi, {M. Arief}",
note = "Publisher Copyright: {\textcopyright} 2022 Author(s).; 2021 International Conference on Science and Applied Science, ICSAS 2021 ; Conference date: 06-04-2021 Through 06-04-2021",
year = "2022",
month = mar,
day = "24",
doi = "10.1063/5.0072373",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Budi Purnama and Nugraha, {Dewanta Arya} and A. Suparmi",
booktitle = "International Conference on Science and Applied Science, ICSAS 2021",
}
