Datasets:
Dataset card: describe FluXray inline
Browse files
README.md
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repackaged in FleXray's common label protocol in the `fxr-dataset` package format.
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Two companion releases complete the data described in the paper:
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- **FluXray** (synthetic, CC BY-NC 4.0): `VictorButoi/fluxray`
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- **MURA forearm/humerus annotations** (masks only, CC BY 4.0): bundled with the
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FleXray GitHub repository and mirrored here under `mura_forearm_humerus_annotations/`
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### What is in `VictorButoi/fluxray`
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138,063 generatively edited digitally reconstructed radiographs rendered from the 1,597
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MOOSE / ENHANCE-PET CTs (90 camera poses each, ~4% removed by quality control), with
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exact overlapping masks for all 63 protocol structures. Unlike the folders here it is
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not a `fxr-dataset` package but the training database itself, laid out as
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`FluXray/thunder_dbs/7.1/` so that `flexray` reads it directly
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(`export GENERATED_DATAPATH=<download>`; config `FluXray: {version: "7.1"}`):
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| File | Contents |
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| `data.mdb` (18.8 GB) | LMDB with one entry per sample: `img` (float16 256 x 256 in [0, 1]) and `seg` (uint8 63 x 256 x 256 binary channel masks, channels may overlap), plus `_samples`, `_splits`, `_metadata` and `_attrs` index entries. |
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| `samples.csv` | One row per sample: MOOSE subject, split, pose id, camera position and rotation, number of visible structures, source site and per-sample license. |
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| `protocol.yml` | The 63 label names in channel order and the mask-binarization thresholds. |
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| `filter_kept.csv`, `filter_dropped.csv`, `filter_thresholds.csv` | Quality-control scores (soft Dice of a reference segmenter on the edited vs. unedited render) and the per-pose thresholds that kept 138,064 of 143,730 renders. |
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| `README.md`, `LICENSE` | Card and license: CC BY-NC 4.0 overall; 50,282 samples from CC BY 4.0 CTs (Leipzig, Careggi) and 87,781 from CC BY-NC 4.0 CTs (AutoPET), recorded per sample. |
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## Redistributed datasets (CC BY 4.0)
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| Dataset | Role in paper | Samples (train/val/test) | Labels | Source |
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repackaged in FleXray's common label protocol in the `fxr-dataset` package format.
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Two companion releases complete the data described in the paper:
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- **FluXray** (synthetic, CC BY-NC 4.0): `VictorButoi/fluxray` — 138,063 generatively
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edited digitally reconstructed radiographs rendered from the 1,597 MOOSE CTs at 90 poses
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each, quality-filtered, with exact overlapping masks for all 63 protocol structures.
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Shipped as the training database itself (`FluXray/thunder_dbs/7.1/data.mdb`, an LMDB
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of float16 256 x 256 images and 63-channel binary masks that `flexray` reads directly)
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together with `samples.csv` (pose, split, MOOSE subject and per-sample license for
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every image), `protocol.yml` (label order and mask thresholds), and the
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`filter_*.csv` quality-control scores and thresholds.
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- **MURA forearm/humerus annotations** (masks only, CC BY 4.0): bundled with the
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FleXray GitHub repository and mirrored here under `mura_forearm_humerus_annotations/`
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## Redistributed datasets (CC BY 4.0)
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| Dataset | Role in paper | Samples (train/val/test) | Labels | Source |
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