Domain Adaptation Using Pseudo Labels for COVID-19 Detection

arXiv:2403.11498v1 Announce Type: cross
Abstract: In response to the need for rapid and accurate COVID-19 diagnosis during the global pandemic, we present a two-stage framework that leverages pseudo labels for domain adaptation to enhance the detection of COVID-19 from CT scans. By utilizing annotated data from one domain and non-annotated data from another, the model overcomes the challenge of data scarcity and variability, common in emergent health crises. The innovative approach of generating pseudo labels enables the model to iteratively …

abstract annotated data arxiv covid covid-19 cs.cv data detection diagnosis domain domain adaptation eess.iv framework global labels pandemic scans stage type