EliHei2/segger_dev

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).

Language: Python - Size: 4.81 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 58 - Forks: 5