A synthetic data pipeline that inserts anatomy-guided shapes and cut-paste objects into chest X-rays trains foreign-object segmentation models to match fully supervised performance with 93 percent fewer manual masks.
Implementation Details We perform dataset generation utilizing both Matplotlib and OpenCV
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Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
A synthetic data pipeline that inserts anatomy-guided shapes and cut-paste objects into chest X-rays trains foreign-object segmentation models to match fully supervised performance with 93 percent fewer manual masks.