A Deep Learning Based Cardiac Cine Segmentation Framework for Clinicians - Transfer Learning Application to 7T - Additional Data

<p><strong>Automatically Generated Segmentation Masks for Data Science Bowl Cardiac Challenge Data</strong></p> <p>These segmentation masks have been automatically generated with the <a href="https://github.com/baiwenjia/ukbb_cardiac">ukbb_cardiac</a> network by Bai et al. (2018, <a href="https://doi.org/10.1186/s12968-018-0471-x">doi:10.1186/s12968-018-0471-x</a>). In order to reproduce the data cleaning and conversion: download the data from <a href="https://www.kaggle.com/c/second-annual-data-science-bowl/data">Kaggle</a> and follow the data curation and conversion steps outlined in: <a href="https://github.com/chfc-cmi/cmr-seg-tl">cmr-seg-tl</a> and the associated publication (Link to be added).</p> <p>As this is a derived dataset please abide by the data use rules of the original dataset at kaggle and provide proper citation to the original data:</p> <blockquote> <p>The data for the Data Science Bowl is available for research and academic pursuits. Please cite as &lsquo;Data Science Bowl Cardiac Challenge Data&rsquo;.</p> </blockquote> <p>Please also cite the Bai et al. article for the algorithm and our publication for the data curation.</p>