PAX-Ray++ (Projected Anatomy in X-Ray Dataset ++)
Introduced by Seibold et al. in Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
The PAX-Ray++ dataset uses pseudo-labeled thorax CTs to enable the segmentation of anatomy in Chest X-Rays. By projecting the CTs to a 2D plane, we gather fine-grained annotated imaages resembling radiographs. It contains 7,377 frontal and lateral view images each with 157 anatomy classes and over 2 million annotated instances.
Papers
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