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

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

Data Download (tmux recommended)

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

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

Pipeline

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