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).
https://elihei2.github.io/segger_dev/
MIT License
27 stars 0 forks source link

Added CLI functionality #1

Closed andrewmoorman closed 1 month ago