ogutsevda/graph-tcga-brca
Graph-TCGA-BRCA: A Cell-Graph Dataset for Breast Cancer from TCGA-BRCA Graph-TCGA-BRCA is a graph-level classification dataset derived from the TCGA-BRCA histopathology dataset. Each 224x224 patch image is converted into a cell-graph where nodes represent detected cell nuclei and edges encode spatial proximity, enabling graph-based learning for fine-grained breast lesion subtyping across 2 clinically relevant classes. Note that node features describe cell morphology… See the full description on the dataset page: https://huggingface.co/datasets/ogutsevda/graph-tcga-brca.
| Author / organization | ogutsevda |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 359 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 12 February 2026 |
| Last updated at source | 3 March 2026 |
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- 17 Oct 2026 Description: Graph-TCGA-BRCA: A Cell-Graph Dataset for Breast Cancer from TCGA-BRCA Graph-TCGA-BRCA is a graph-level classification dataset derived from the TCGA-BRCA histopathology dataset. Each 224x224 patch image is converted into a cell-graph where → Graph-TCGA-BRCA: A Cell-Graph Dataset for Breast Cancer from TCGA-BRCA Graph-TCGA-BRCA is a graph-level classification dataset derived from the TCGA-BRCA histopathology dataset. Each 224x224 patch image is converted into a cell-graph where
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