| Autor: |
Bustomi, M. Arief |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2022, Vol. 2391 Issue 1, p1-8, 8p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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