Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)

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Respiratory Disease Detection and Classification using Deep Learning

Authors
Ananya Nair1, *, Aaryan Kathole1, Vedant Koli1, Puja Padiya1, Amarsinh V. Vidhate1
1Ramrao Adik Institute of Technology, D Y Patil Deemed To Be University, Nerul, Navi Mumbai, India
*Corresponding author. Email: ana.nai.rt21@dypatil.edu
Corresponding Author
Ananya Nair
Available Online 7 October 2025.
DOI
10.2991/978-94-6463-852-3_19How to use a DOI?
Keywords
Deep learning; CNN; ResNet; Chest X-ray; Respiratory disease detection; Medical image classification
Abstract

This paper suggests a deep learning-based system for the automatic detection and classification of respiratory diseases from chest X-rays. This method is intended to facilitate fast and trustworthy diagnosis, especially in resource-poor environments with no access to expert radiologists. Utilizing Convolutional Neural Networks (CNNs) from the ResNet family, the model exhibits robust feature extraction and classification performance. The pipeline includes data preprocessing, augmentation, model training, and strict validation. Trained from annotated data, the model correctly classifies prevalent respiratory disorders like pneumonia, tuberculosis, and COVID-19. Performance measures such as accuracy, precision, recall, and F1-score reveal the robustness and transferability of the system. Findings suggest that ResNet-based models can act as strong clinical decision-aids by rendering regular, data-driven diagnostic assistance, enhancing the reach and effectiveness of respiratory healthcare services.

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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Volume Title
Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 October 2025
ISBN
978-94-6463-852-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-852-3_19How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Ananya Nair
AU  - Aaryan Kathole
AU  - Vedant Koli
AU  - Puja Padiya
AU  - Amarsinh V. Vidhate
PY  - 2025
DA  - 2025/10/07
TI  - Respiratory Disease Detection and Classification using Deep Learning
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 296
EP  - 314
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_19
DO  - 10.2991/978-94-6463-852-3_19
ID  - Nair2025
ER  -