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).
PythonMIT
Issues
- 4
- 5
ValueError in LitSegger from tutorial
#75 opened - 3
segger in COSMX data - data generation step
#74 opened - 3
- 2
[Visualisation] Baysor-like output
#69 opened - 1
[BUG] ValueError while tuning parameters
#68 opened - 0
- 4
- 2
- 5
- 0
- 0
bug fix - numpy depreciation error.
#49 opened - 4
seg2explorer arguments
#45 opened - 1
Attribute error during dataset creation
#43 opened - 2
[BUG] duplicate test
#35 opened - 14
- 2
Change cagra.build_index to cagra.build
#33 opened - 6
Segger Similarity Score Histogram
#32 opened - 4
'pip install..' throws errors
#29 opened - 7
- 2
- 2
cell type abundance embedding
#24 opened - 2
`spatialdata` support in `segger`
#20 opened - 0
- 1
- 0
- 0
- 3
RAPIDS support discontinued for systems running OS versions lower than Ubuntu 20.04 or Rocky Linux 8
#14 opened - 0
- 0
Early stopping for training
#12 opened - 0
- 5
- 10
Segger installation troubles
#9 opened - 2
Connect Sopa and Segger
#8 opened