Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation
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DOI: 10.1109/access.2022.3168680
Abstract: We demonstrate that Domain Invariant Feature Learning (DIFL) can improve the out-of-domain generalizability of a deep learning Tuberculosis (TB) screening algorithm. It is well known that state of the art deep learning algorithms often have… read more here.
Keywords: domain adaptation; shift based; domain; domain shift ... See more keywords