# lung2 — Glioma Chemotherapy Benefit Prediction

Feature-extraction + classical ML fusion pipeline for TCGA-LGG, aligned with
`参考论文.pdf` and `plan.md`.

## Environment

```bash
conda activate ct
python -m pip install -r requirements-lung2.txt
```

## Data Download (tmux recommended)

```bash
bash scripts/download_tcga_lgg.sh
```

Downloads:
- GDC clinical / follow-up / treatment tables for TCGA-LGG
- TCIA BraTS-TCGA-LGG training NIfTI zip (536 MB, when reachable)

## Quick Smoke Test

```bash
python scripts/create_synthetic_smoke.py
pytest -q tests/test_smoke.py
```

## Pipeline

```bash
python scripts/build_clinical_labels.py --config configs/tcga_lgg_qc.yaml
python scripts/clean_radiomics.py --config configs/tcga_lgg_qc.yaml
python scripts/extract_patch_triregion.py --config configs/feature_extraction.yaml
python scripts/run_fusion_benchmark.py --config configs/fusion_baseline.yaml
python scripts/run_complementarity_fusion.py --config configs/fusion_complementarity.yaml
```