| license: cc0-1.0 | |
| tags: [medical-imaging, ct, intracranial-hemorrhage, rsna, conformal-prediction] | |
| # ICH Phase-2 — trained models & artifacts | |
| RSNA-2019 winner-style cascade (2D CNN -> per-slice embeddings -> BiGRU) with three novelties | |
| (conformal risk control, cross-slice CAM-consistency, long-tail loss). Uploaded 2026-07-17. | |
| ## Contents | |
| - `checkpoints/` — CNN + BiGRU heads (`cnn_best.pt`, `seq_winner_best.pt`, `seq_gate_best.pt`, `seq_sub_best.pt`) | |
| - `scores/` — val/test score arrays (`*.npz`) consumed by Step 3 (conformal + manuscript) | |
| - `embeddings/` — per-slice CNN embeddings (`emb.npy`, `emb_ids.json`) for regenerating sequence models | |
| - `run_config.json`, `class_stats.json` — full config + data statistics | |
| ## Test-set results (macro-AUC) | |
| - BiGRU winner reproduction: 0.933 | our cascade: 0.932 | 2D-CNN baseline: 0.856 | |
| - Epidural (rare class) AUC: 0.924 | |