Mirai — 5-year breast-cancer risk

In-browser inference of the Mirai model via ONNX Runtime Web. Four mammogram DICOMs go in, five calibrated year-hazards plus a 612-dim explainability embedding come out — no data leaves the browser.

1. Input

Drop 4 DICOMs here (L-CC, R-CC, L-MLO, R-MLO) or
or

3. Risk factors (optional)

Listed in the canonical order of the 34 risk-factor keys (matches the 100-dim RF block of the embedding). Missing keys fall back to the model-predicted risk-factor path.

shortcut if specifics unknown
auto-derived from age & menopause age
Note: setting either BC or OC for a relative marks the other as "no" if left "unknown" — upstream Mirai ties known-status per relative.

4. Run

EP: — threads: —
Waiting for DICOMs…

Predictions

yearrounded (4dp)calibrated (fp64)

Slot order

slotviewsideflipped

XAI embedding (612-dim, post-ReLU)

Laid out as 34 rows × 18 cols (= 612). Darker = larger activation. First 512 dims are image features (img_emb_1…512); last 100 are the risk-factor block (density_1hrt_years_ago_stopped_gt_7). Hover any cell for its label and activation.

Stage timings

stagelast run (ms)p50 (ms)p95 (ms)mean (ms)n