a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
Added CLI functionality for creating datasets, training, and predicting, and made a bug fix to neighbor filtering.