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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).

语言:HTML · GitHub 星标:91 · Fork:15

话题:ai · cell-segmentation · graph-neural-networks · graphs · molecule-graphs · oncology · segmentation · single-cell-analysis

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