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ICRPSET 2022

A Comparative Analysis for the Detection of COVID-19 from Chest X-ray Dataset

Anirban Saha Anik, Kowshik Chakraborty, Bishowjit Datta, Abdul Kader, and Md. Kishor Morol

A comparative study of EfficientNet variants for COVID-19 detection from chest X-rays.

Published
ICRPSET 2022
Original source
Publication record ↗

01 / MOTIVATION

Why this work matters

Early pandemic research investigated imaging-based machine learning as a possible decision-support direction.

A comparative study of EfficientNet variants for COVID-19 detection from chest X-rays.

02 / METHODOLOGY

Research approach

The study compares EfficientNet model variants for COVID-19 detection using chest X-ray images.

Figure 1. Methodology for COVID-19 chest X-ray classification using EfficientNet variants.
Figure 1. Illustration of the proposed methodology. View source ↗

03 / CONTRIBUTIONS

Main contribution

Comparative evaluation of COVID-19 chest X-ray classification models.

Consult the complete publication for numerical findings and experimental qualifications.

04 / PUBLICATION

Read the paper

Anirban Saha Anik, Kowshik Chakraborty, Bishowjit Datta, Abdul Kader, and Md. Kishor Morol. (2022). A Comparative Analysis for the Detection of COVID-19 from Chest X-ray Dataset. 2022 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET). https://doi.org/10.1109/ICRPSET57982.2022.10188570