Data used in the study "ChronoMID - cross-modal neural networks for 3-D temporal medical imaging data"

<div>Link to the data used in:</div><div><br></div><div><div>Alexander G. Rakowski, Petar Velickovic, Enrico Dall’Ara, Pietro Liò</div><div><br></div><div>from:</div><div>-) Computer Laboratory, University of Cambridge, Cambridge, Cambs, United Kingdom</div><div>-) Insigneo Institute for in silico medicine, University of Sheffield, Sheffield, South</div><div>Yorkshire, United Kingdom</div></div><div><br></div><div><i>ChronoMID - cross-modal neural networks for 3-D temporal </i><i>medical imaging data;</i> Plos One 2020.</div><div><br></div><div><div>Provided here are a selection of images from the study. The images have been resized to have consistent dimensions, but otherwise have not undergone any of the preprocessing steps listed in the ChronoMID paper.</div><div><br></div><div>Input images for both the control (WildType) and treated (Anabolic) groups have been uploaded at three different time points: at the start of the experiment (W0), at the beginning of the treatment (W5), and at the end of the experiment (W8).</div><div>Within each mouse-week, the stack of cross-sections ranges from the proximal epiphysis</div><div>(e.g. 0100.dcm) and extend toward the distal epiphysis (e.g. 1300.dcm).</div></div><div><p><br></p><div>The whole dataset is stored in the University of Sheffield file-store at the link:</div><div>https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/</div><div><br></div><div>The code used in this study can be found in the following link:</div><div><a rel="noreferrer noopener" target="_blank">https://doi.org/10.15131/shef.data.11798595</a><br></div><div><br></div><p>For further information please contact Dr Enrico Dall'Ara: e.dallara@sheffield.ac.uk</p></div>