ryankim17920/nanopath-fairness-tiles
nanopath-fairness-tiles Pre-tiled histopathology patches from CPTAC whole-slide images, used as the external out-of-distribution validation set for a study on pretraining-time vs. post-hoc fairness in histopathology foundation models. Contents Per-cohort folders, each slides_full/<slide_id>.parquet (one row per tile: case_id, slide_id, tile_idx, image) + labels.tsv: cohort organ / task slides cptac_lung NSCLC — LUAD vs LSCC subtype 604 cptac_gbm GBM —… See the full description on the dataset page: https://huggingface.co/datasets/ryankim17920/nanopath-fairness-tiles.
nanopath-fairness-tiles
Pre-tiled histopathology patches from CPTAC whole-slide images, used as the external out-of-distribution validation set for a study on pretraining-time vs. post-hoc fairness in histopathology foundation models.
Contents
Per-cohort folders, each slides_full/<slide_id>.parquet (one row per tile: case_id, slide_id, tile_idx, image) + labels.tsv:
Tiles: 512×512 px at 0.5 MPP (~20×), JPEG q95, background dropped (brightness ≥ 230). Full-slide tiling (uncapped — every tissue tile kept). metadata/ holds case-level demographics (race/sex/age) and CV folds.
Source & attribution (required by CC BY 3.0)
Images derive from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) collections hosted on The Cancer Imaging Archive (TCIA) (CPTAC-LUAD, CPTAC-LSCC, CPTAC-GBM, CPTAC-CCRCC), released under CC BY 3.0. This dataset is a derivative: slides were tiled and packed into parquet; no image content was otherwise altered. Case-level demographics are from the NCI Genomic Data Commons (GDC) open-access clinical data.
Please cite CPTAC, the relevant TCIA collection DOIs, and the GDC when using this data, and retain this attribution. Original data © their respective providers under CC BY 3.0.
Not included
No TCGA data. No protected health information (all sources de-identified).