Figure 3 - available via license: Creative Commons Attribution 4.0 International
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MaskMedPaint Image Generation for CXR dataset shift. Example of the source MIMIC-CXR image (left) augmented to NIH style with MaskMedPaint (middle). For reference, a CXR from NIH (right).
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Spurious features associated with class labels can lead image classifiers to rely on shortcuts that don't generalize well to new domains. This is especially problematic in medical settings, where biased models fail when applied to different hospitals or systems. In such cases, data-driven methods to reduce spurious correlations are preferred, as cl...
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