Local image fitting based active contour loss with deep learning for nuclei segmentation
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This paper proposes an approach for segmentation of nuclei images based on deep learning. In particular, the recent TransUnet inspired from transformers’ strong ability in modeling long-range context, is employed and adapted for the nuclei segmentation.
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