COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer

Juntao Jiang; Shuyi Lin

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arXiv · 2110.08427

COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer

Juntao Jiang·Shuyi Lin

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Abstract

The Coronavirus Disease 2019 (COVID-19) has spread globally and caused serious damage. Chest X-ray images are widely used for COVID-19 diagnosis and the Artificial Intelligence method can increase efficiency and accuracy. In the Challenge of Chest XR COVID-19 detection in Ethics and Explainability for Responsible Data Science (EE-RDS) conference 2021, we proposed a method that combined Swin Transformer and Transformer in Transformer to classify chest X-ray images as three classes: COVID-19, Pneumonia, and Normal (healthy) and achieved 0.9475 accuracies on the test set.

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eess.IV cs.CV

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Juntao Jiang, Shuyi Lin. 2021-10-16. COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer. https://arxiv.org/abs/2110.08427

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