Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning

作者：

Highlights：

• We combine various cutting-edge Machine Learning techniques to detect tuberculosis.

• We propose an expert system that effectively classifies Chest X-ray images.

• Our system significantly outperforms various state-of-the-art approaches.

• It has been evaluated using different quality metrics.

摘要

•We combine various cutting-edge Machine Learning techniques to detect tuberculosis.•We propose an expert system that effectively classifies Chest X-ray images.•Our system significantly outperforms various state-of-the-art approaches.•It has been evaluated using different quality metrics.

论文关键词：Deep learning,EfficientNet,Tuberculosis detection,Transfer learning,Transformer

论文评审过程：Received 30 January 2021, Revised 10 June 2021, Accepted 29 June 2021, Available online 9 July 2021, Version of Record 15 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115519