Semantic Analysis of Chest X-ray using an Attention-based CNN Technique

Rishabh Dhenkawat, Snehal Saini, Nagendra Pratap Singh

2021

Abstract

The world today is suffering from a huge pan-demic. COVID-19 has infected 106M people around the globe causing 2.33M deaths, as of February 9, 2021.To control the disease from spreading more and to provide accurate health-care to existing patients, detection of COVID-19 at an early stage is important. As per the World Health Organization (WHO), diagnosing pneumonia is the most common way of detect-ing COVID-19. 172K deaths were reported in USA between February 2020 and January 29, 2021 that were caused by pneumonia and COVID-19 together. In many situations, a chest X-ray is used to determine the type of pneu-monia. We present a deep learning model to generate report of a chest x-ray image using image captioning with attention mechanism.

Paper Citation

in Harvard Style

Dhenkawat R., Saini S. and Singh N. (2021). Semantic Analysis of Chest X-ray using an Attention-based CNN Technique. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 218-223. DOI: 10.5220/0010567200003161

in Bibtex Style

@conference{icacse21,
author={Rishabh Dhenkawat and Snehal Saini and Nagendra Pratap Singh},
title={Semantic Analysis of Chest X-ray using an Attention-based CNN Technique},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={218-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010567200003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - Semantic Analysis of Chest X-ray using an Attention-based CNN Technique
SN - 978-989-758-544-9
AU - Dhenkawat R.
AU - Saini S.
AU - Singh N.
PY - 2021
SP - 218
EP - 223
DO - 10.5220/0010567200003161