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Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images. (arXiv:2211.02142v1 [eess.IV])
cs.CV updates on arXiv.org arxiv.org
Semi-supervised learning (SSL) leverages both labeled and unlabeled data for
training models when the labeled data is limited and the unlabeled data is
vast. Frequently, the unlabeled data is more widely available than the labeled
data, hence this data is used to improve the level of generalization of a model
when the labeled data is scarce. However, in real-world settings unlabeled data
might depict a different distribution than the labeled dataset distribution.
This is known as distribution mismatch. Such problem …
arxiv covid covid-19 data deal deep learning detection distribution images ray semi-supervised thresholding x-ray