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Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
[article]
2021
IEEE Transactions on Neural Networks and Learning Systems
pre-print
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-19. Since manual report writing is usually too time-consuming, a more intelligent auxiliary medical system that could generate medical reports automatically and immediately is urgently needed. In this article, we propose to use the medical visual language BERT (Medical-VLBERT) model to identify the abnormality on the COVID-19 scans and generate the
doi:10.1109/tnnls.2021.3099165
pmid:34370672
arXiv:2108.05067v1
fatcat:pu37j3eddrcz5l534u3wahxir4