HipRay/README.md

HipRay (hip joint radiographs)

Part of the FleXray data release. Repackaged from the original distribution at https://data.mendeley.com/datasets/zm6bxzhmfz/1 under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

Citation: Gut, D. X-ray images of the hip joints. Mendeley Data, V1 (2021). doi:10.17632/zm6bxzhmfz.1

Contents

• 139 samples (test: 21, train: 97, val: 21); 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: femurs
• 2: hips
• 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

pip install flexray
fxr-dataset validate dataset.yml
fxr-dataset pack dataset.yml /data/flexray/HipRay