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Posted: 2025-04-22 17:12:58 UTC
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-04-22 17:13:12 UTC
Verified By
Rollup News
Segger is an attention-based graph neural network for imaging-based spatial transcriptomics segmentation. It learns a transcript-cell/boundary joint latent space and is significantly faster than Baysor.
Attention-based Graph Neural Network for spatial transcriptomics segmentation
Learns a transcript-cell/boundary joint latent space
30 times faster than Baysor on NVIDIA A100 GPU