# BTXRD (musculoskeletal radiographs with primary bone tumor masks)

Part of the FleXray data release. Repackaged from the original distribution at
https://doi.org/10.6084/m9.figshare.27865398 under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

**Citation:** Yao, S., Huang, Y., Wang, X. et al. A radiograph dataset for the classification, localization, and segmentation of primary bone tumors. Sci. Data 12, 88 (2025). doi:10.1038/s41597-024-04311-y. Dataset: figshare, doi:10.6084/m9.figshare.27865398 (CC BY 4.0).

## Contents

- 1867 samples (test: 281, train: 1305, val: 281); one image and one label per sample.
- `images/*.png`: 16-bit grayscale PNG, intensities in [0, 65535] map linearly to [0, 1].
- `labels/`: dense index map (PNG). Label ids/channels:
- `0`: background
- `1`: tumor
- `dataset.yml`: `fxr-dataset` manifest (schema version 1). Splits are the
  ones used in the FleXray paper; `metadata.original_shape` is the source image shape.

## Preprocessing

Every image was min-max normalized to [0, 1] per image, padded to a square with zeros
(centered) and resized to 256 x 256 (area interpolation for images, nearest for labels). Labels were remapped from the
source annotation to the dataset-native names listed above; the FleXray package maps
those names into its label protocol at training time.

## Usage

```bash
pip install flexray
fxr-dataset validate dataset.yml
fxr-dataset pack dataset.yml /data/flexray/BTXRD
```