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

Link to the data used in:<br>Alexander G. Rakowski, Petar Velickovic, Enrico Dall’Ara, Pietro Liò<br>from:-) Computer Laboratory, University of Cambridge, Cambridge, Cambs, United Kingdom-) Insigneo Institute for in silico medicine, University of Sheffield, Sheffield, SouthYorkshire, United Kingdom<br><i>ChronoMID - cross-modal neural networks for 3-D temporal </i><i>medical imaging data;</i> Plos One 2020.<br>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.<br>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).Within each mouse-week, the stack of cross-sections ranges from the proximal epiphysis(e.g. 0100.dcm) and extend toward the distal epiphysis (e.g. 1300.dcm).<br>The whole dataset is stored in the University of Sheffield file-store at the link:https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/<br>The code used in this study can be found in the following link:https://doi.org/10.15131/shef.data.11798595<br><br>For further information please contact Dr Enrico Dall'Ara: [e-mail]