A Deep Learning Based Cardiac Cine Segmentation Framework for Clinicians - Transfer Learning Application to 7T - Additional Data
Creators
- 1. Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center, University Hospital Würzburg
Description
Automatically Generated Segmentation Masks for Data Science Bowl Cardiac Challenge Data
These segmentation masks have been automatically generated with the ukbb_cardiac network by Bai et al. (2018, doi:10.1186/s12968-018-0471-x). In order to reproduce the data cleaning and conversion: download the data from Kaggle and follow the data curation and conversion steps outlined in: cmr-seg-tl and the associated publication (Link to be added).
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:
The data for the Data Science Bowl is available for research and academic pursuits. Please cite as ‘Data Science Bowl Cardiac Challenge Data’.
Please also cite the Bai et al. article for the algorithm and our publication for the data curation.
Notes
Files
data.zip
Files
(19.3 GB)
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md5:00f0d8cfe51a1fb8ed489ebf2161e06f
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Additional details
Related works
- Cites
- Journal article: 10.1186/s12968-018-0471-x (DOI)