A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
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DOI: 10.1002/mp.16338
Abstract: BACKGROUND Multi-modal learning is widely adopted to learn the latent complementary information between different modalities in multi-modal medical image segmentation tasks. Nevertheless, the traditional multi-modal learning methods require spatially well-aligned and paired multi-modal images for… read more here.
Keywords: unpaired multi; multi modal; multi; modality ... See more keywords