ogutsevda/graph-bracs
Graph-BRACS: A Cell-Graph Dataset for Breast Cancer from BRACS Graph-BRACS is a graph-level classification dataset derived from the BRACS (BReAst Carcinoma Subtyping) histopathology dataset. Each region-of-interest (ROI) 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 7 clinically relevant classes. Note that node features… See the full description on the dataset page: https://huggingface.co/datasets/ogutsevda/graph-bracs.
| Author / organization | ogutsevda |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 19.9K (as reported by Hugging Face) |
| Likes | 9 |
| Created | 11 February 2026 |
| Last updated at source | 3 March 2026 |
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- 17 Oct 2026 Description: Graph-BRACS: A Cell-Graph Dataset for Breast Cancer from BRACS Graph-BRACS is a graph-level classification dataset derived from the BRACS (BReAst Carcinoma Subtyping) histopathology dataset. Each region-of-interest (ROI) image is converted → Graph-BRACS: A Cell-Graph Dataset for Breast Cancer from BRACS Graph-BRACS is a graph-level classification dataset derived from the BRACS (BReAst Carcinoma Subtyping) histopathology dataset. Each region-of-interest (ROI) image is converted
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