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
38 stars 3 forks source link

Gave our baby a checkup 🩹 and added a tutorial notebook #6

Closed andrewmoorman closed 2 months ago

andrewmoorman commented 2 months ago

Added a general tutorial notebook with quick-and-dirty grid search, and made sure all steps of the pipeline are up-and-running