HDA-Net: H&E and RGB Dual Attention Network for Nuclei Instance Segmentation
H&E-stained images (HSIs) are widely adopted for revealing cellular structures and capturing morphological changes in nuclear instance segmentation. Despite several studies aimed at differentiating pixels of overlapping nuclei, challenges persist due to color inconsistencies introduced by...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10504830/ |