• KiTS23 / KiTS21 / KiTS19 — Kidney and Kidney Tumor Segmentation Challenge. Heller N. et al. Training data for the tumour model. kits-challenge.org ·
• TotalSegmentator — Wasserthal J. et al., whole-body CT segmentation dataset behind the bundled whole-body model. github.com/wasserth/TotalSegmentator

• MONAI Model Zoo — wholebody_ct_segmentation (SegResNet), used to locate the kidneys, aorta and vena cava. Apache 2.0 — see models/LICENSE-wholebody_ct_segresnet.txt.
• Stage B tumour/cyst model — trained for this project on KiTS23. See models/STAGEB.md for method and measured results.

• NiiVue — medical image rendering. BSD 2-Clause. github.com/niivue/niivue
• ONNX Runtime Web — in-browser model inference. MIT. onnxruntime.ai
• dicom-parser — DICOM parsing (Cornerstone). MIT. github.com/cornerstonejs/dicomParser
• nifti-reader-js — NIfTI parsing. MIT. github.com/rii-mango/NIFTI-Reader-JS
• coi-serviceworker — cross-origin isolation for multi-threaded WASM. MIT. github.com/gzuidhof/coi-serviceworker

• kidneyViewer.disclaimerAcknowledged.v1 —
• kidneyViewer.language.v1 —
• kidneyViewer.computeDevice.v1 —
• kidneyViewer.deviceVerdict.v1 —