Hand mask for the RSNA bone age dataset

<p>Masks for semantic segmentation of hands from scanned X-Rays in the RSNA Bone Age dataset (released for the <a href="https://www.rsna.org/education/ai-resources-and-training/ai-image-challenge/rsna-pediatric-bone-age-challenge-2017">RSNA Pediatric Bone Age Challenge</a> in 2017).</p> <p>The masks were obtained manually using thresholding and edge detection and all masks were quality checked and, if needed, corrected.</p> <p>Based on this two models (Tensormask and Efficient-UNet) were trained to obtain the masks on the full RSNA Bone Age dataset.</p> <p>&nbsp;</p> <p>If you use this dataset for your work, please cite the paper this dataset is part of:</p> <p>Rassmann, S., Keller, A., Skaf, K.&nbsp;<em>et al.</em> Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias. <em>Pediatr Radiol</em> <strong>54</strong>, 82&ndash;95 (2024). https://doi.org/10.1007/s00247-023-05789-1&nbsp;</p> <p>&nbsp;</p>