| # 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 | |
| ``` | |