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.
Nội dung trích xuất từ tài liệu:
Local image fitting based active contour loss with deep learning for nuclei segmentation

Tìm kiếm theo từ khóa liên quan:

Deep learning Nuclei segmentation Image segmentation The fully convolutional neural network U-Net model

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