Medical Image Classification Using Deep Neural Networks: An X-Ray Classification

Addagtla Prashanth, Marripalepu Srihimamshu, Somla, Adavi Satya Vinay Aghamarsha

2025

Abstract

Lung X-rays are among the most important for making medical diagnoses. In this work, we identify lung X-rays as either Normal or Pneumonia using a range of deep learning models, such as VGG16, VGG19, ResNet, DenseNet, and Inception. Before sending the images into the dense neural network, we suggest integrating a new pooling layer. Both healthy and pneumonia-affected lung X-rays are included in our collection. Convolutional neural networks (CNNs) are used to identify the X-rays’ condition and classify them appropriately. By comparing our findings with those of other models, we analyzed our models using a confusion matrix and quantified measures like precision and recall. We examine the CNN algorithm and provide the following examples: (I) With enough training data, deep learning algorithms can correctly categorize X-ray images of sick lungs. (II) Compared to many typical models, the design may perform better by including an average pooling layer at the end. (III) Optimizing hyperparameters improves the performance and accuracy of the model. (IV) Our models outperform several existing CNN models with less trainable parameters when properly trained, hyperparameter adjusted, and data augmented. With the accurate automation of X-ray image interpretation made possible by this method, there may be less need for invasive MRI and CT scans, which subject patients to high radiation doses.

Paper Citation

in Harvard Style

Prashanth A., Srihimamshu M., Somla. and Vinay Aghamarsha A. (2025). Medical Image Classification Using Deep Neural Networks: An X-Ray Classification. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 763-769. DOI: 10.5220/0013659500004664

in Bibtex Style

@conference{incoft25,
author={Addagtla Prashanth and Marripalepu Srihimamshu and Somla and Adavi Satya Vinay Aghamarsha},
title={Medical Image Classification Using Deep Neural Networks: An X-Ray Classification},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={763-769},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013659500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Medical Image Classification Using Deep Neural Networks: An X-Ray Classification
SN - 978-989-758-763-4
AU - Prashanth A.
AU - Srihimamshu M.
AU - Somla.
AU - Vinay Aghamarsha A.
PY - 2025
SP - 763
EP - 769
DO - 10.5220/0013659500004664
PB - SciTePress