Local image fitting based active contour loss with deep learning for nuclei segmentation
Local image fitting based active contour loss with deep learning for nuclei segmentation
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.