Nuclei segmentation in histopathology images using Swin-UNet with explicit edge supervision
Accurate nuclei segmentation in histopathology images is crucial for downstream biological analysis. While Transformer based models excel at capturing global contexts, they struggle with blurred boundaries and structural adhesion in dense cellular regions. To address this, we propose Swin-UNet-EARM, introducing an Edge...