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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2025-02-01
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| 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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