Data Discernment for Affordable Training in Medical Image Segmentation
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DOI: 10.1109/tmi.2022.3228316
Abstract: Collecting sufficient high-quality training data for deep neural networks is often expensive or even unaffordable in medical image segmentation tasks. We thus propose to train the network by using external data that can be collected… read more here.
Keywords: image segmentation; data discernment; network; external data ... See more keywords