Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia

This study focused on algorithm performance and training/testing time, evaluating the most suitable chest X-ray image size for machine learning models to predict pneumonia infection. The neural network algorithm achieved an accuracy rate of 87.00% across different image sizes. While larger images ge...

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Bibliographic Details
Main Authors: Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2025-02-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
Online Access:https://ijain.org/index.php/IJAIN/article/view/1897
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