Pneumonia X-ray Image Classification Methods Based on Deep Learning

DOI

10.2991/978-94-6239-648-7_60How to use a DOI?

Keywords

Pneumonia Classification; Medical Image Evaluation; Convolutional Neural Network; Transfer Learning; Ensemble Learning

Abstract

Pneumonia is a respiratory disease that is widely present in daily life. For pneumonia, timely and accurate diagnosis is very crucial for clinical treatment. The traditional chest X-ray diagnostic method mainly relies on all the professional knowledge of radiologists to carry out the diagnostic work. This diagnostic method is time-consuming and energy-consuming. In the diagnostic process, it is also prone to the subjectivity of the doctor himself. To enhance the effectiveness and accuracy of diagnosis, this paper employs a publicly available chest X-ray dataset to construct and train three deep learning models with different architectures. These models include custom-designed deep convolutional neural networks and transfer learning models based on ResNet50. And an integrated model that integrates the features of CNN and VGGNet. The results obtained from the experiments show that the ensemble model outperforms other models in all evaluation criteria, achieving relatively high accuracy, precision, recall rate and F1 score. This paper confirms that deep learning and ensemble learning strategies are effective in medical image analysis and have great potential. It also provides valuable technical guidance and practical foundations for the development of efficient computer-aided diagnostic tools.

Copyright

© 2026 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  - Xinyu Zhou
PY  - 2026
DA  - 2026/04/24
TI  - Pneumonia X-ray Image Classification Methods Based on Deep Learning
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 544
EP  - 554
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_60
DO  - 10.2991/978-94-6239-648-7_60
ID  - Zhou2026
ER  -