Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning

@article{Han2021PneumoniaDO,
  title={Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning},
  author={Yan Han and Chongyan Chen and Ahmed H. Tewfik and Ying Ding and Yifan Peng},
  journal={2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)},
  year={2021},
  pages={247-251}
}
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still has been manually performed by radiologists, which creates huge burnouts and delays. Traditionally, radiomics, as a subfield of radiology that can extract a large number of quantitative features from medical images, demonstrates its potential to facilitate medical imaging diagnosis before the deep learning era. With the rise of… 

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