The Development of X-Ray Image Classification System Based on Convolutional Neural Network Algorithm

DOI

10.2991/978-94-6463-620-8_26How to use a DOI?

Keywords

X-ray Image; Deep Learning; CNN; X-ray Classification

Abstract

This study aims to develop a system to classify the X-ray image based on the Convolution Neural Network (CNN) algorithm. The system is integrated with a Graphical User Interface (GUI) to make it easy to use. The algorithm of the classification process consists of 3 stages. The preprocessing stage to optimize the image quality as the first stage. The second stage is the training process, which aims to train the CNN system to learn and model the dataset for each class. The last stage is the validation process, which aims to evaluate and validate the test data compared to the training data. In the last stage, the training data is used to classify the X-ray image. We used the GUI to display the classification result. We used a 20384 dataset consisting of 5243 COVID cases, 11995 normal cases and 3146 Pneumonia cases. We divided the data into 90% data for training and 10% for test Data. The experimental results are evaluated using a confusion matrix to determine the accuracy, precision, F1 score and recall. The experimental results show the successful rate of the performance of our system in image classification with results as follows average of accuracy is 90%, precision 92%, recall 90% and F1 score 91%. In addition, the deployed GUI successfully displayed the x-ray image with classification result and the accuracy value. The GUI is also equipped with the report of the classification result in the form of a PDF file.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Budi Sugandi
AU  - Ridwan Ridwan
AU  - Abdullah Sani
AU  - Iman Fahruzi
AU  - Budiana Budiana
AU  - Stevany Stevany
PY  - 2024
DA  - 2024/12/25
TI  - The Development of X-Ray Image Classification System Based on Convolutional Neural Network Algorithm
BT  - Proceedings of the  7th International Conference on Applied Engineering (ICAE 2024)
PB  - Atlantis Press
SP  - 337
EP  - 352
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-620-8_26
DO  - 10.2991/978-94-6463-620-8_26
ID  - Sugandi2024
ER  -