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Processed Data for Training/Testing Gene-DML Framework

Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images (accepted by WACV2026). Please kindly refer to our paper and code.

Structure

st_data/
├── her2st/                           # HER2ST dataset
│   ├── ST-cnts/                      # Gene expression count files
│   ├── ST-imgs/                      # Histopathology images
│   ├── ST-spotfiles/                 # Spot coordinate files
│   ├── gt_features_uni_small_224/    # Target features (extracted by UNI)
│   └── n_features_uni_small_5_224/   # Neighbor features (extracted by UNI)
├── skinst/                           # skinST dataset
│   └── ...
├── stnet/                            # STNet dataset
│   └── ...
└── test/                             # External test datasets
    ├── 10x_breast_ff1 (breast data)
    ├── 10x_breast_ff2 (breast data)
    ├── 10x_breast_ff3 (breast data)
    ├── NCBI463 (skin data)
    └── NCBI464 (skin data)
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