Cell segmentation remains a great challenge in high-resolution spatial-omics data. Here, the authors introduce a graph-based deep learning model that exploits transcript colocalization patterns to jointly perform noise-aware cell segmentation and annotation in spatial transcriptomics data.
- Kang Jin
- Zuobai Zhang
- Jian Shu
