Progress of Deep Learning-Based Pulmonary Disease Identification from Chest X-Rays

DOI

10.2991/978-94-6463-821-9_56How to use a DOI?

Keywords

Deep Learning; Chest X-Ray; Medical Image Recognition

Abstract

With the increasing prevalence of epidemic respiratory diseases and lung cancer in recent years, intelligent diagnostic technologies based on chest X-ray (CXR) image recognition have become a research focus. The breakthrough development of deep learning has provided a new paradigm for automatic CXR image analysis. This paper systematically reviews the evolution and limitations of convolutional neural networks (CNNs) and their derivative architectures in pulmonary disease detection over the past 5-10 years, comparing their performance and exploring advancement in applications for diseases like pneumonia. The study examines the enormous potential of emerging technologies, such as Transformer models and multimodal learning, in transforming the automatic diagnosis of pulmonary diseases from CXR images. Finally, this paper introduces commonly used CXR image datasets, focusing on the challenges faced at the data level and analyzing corresponding solution strategies. The review comprehensively analyzes the current applications, challenges, and future development paths of deep learning technologies and datasets applied to pulmonary disease recognition in CXR imaging, offering valuable insights for developing more accurate, rapid, portable, and interpretable AI-powered diagnostic systems for pulmonary diseases, potentially improving early patient outcomes globally.

Copyright

© 2025 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  - Jiale Zhou
PY  - 2025
DA  - 2025/08/31
TI  - Progress of Deep Learning-Based Pulmonary Disease Identification from Chest X-Rays
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 560
EP  - 572
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_56
DO  - 10.2991/978-94-6463-821-9_56
ID  - Zhou2025
ER  -