• Corpus ID: 254069873

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

@inproceedings{Chen2022BoMDBO,
  title={BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification},
  author={Yuanhong Chen and Fengbei Liu and Hu Wang and Chongjian Wang and Yu Tian and Yuyuan Liu and G. Carneiro},
  year={2022}
}
Deep learning methods have shown outstanding classification accuracy in medical imaging problems, which is largely attributed to the availability of large-scale datasets manually annotated with clean labels. However, given the high cost of such manual annotation, new medical imaging classification problems may need to rely on machine-generated noisy labels extracted from radiology reports. Indeed, many Chest X-ray (CXR) classifiers have already been modelled from datasets with noisy labels, but… 
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