Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
Journal Information
Full Title: IEEE Trans Med Imaging
Abbreviation: IEEE Trans Med Imaging
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Diagnostic Imaging
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"an example is given in fig 1 4 https://digital-heart org/ 5 code is publicly available at https://github com/baiwenjia/ukbb_cardiac 6 code is publicly available at https://github com/biomedia/irtk 7 code is publicly available at https://github com/baiwenjia/cimas8 http://cmictig cs ucl ac uk/research/software/software-nifty/niftyreg figure 1 illustrating the differences between a low-resolution cmr volume (top row) and a high-resolution cmr volume (bottom row)."
"The research was supported by the British Heart Foundation (NH/17/1/32725, RE/13/4/30184); National Institute for Health Research (NIHR) Biomedical Research Centre based at Imperial College Healthcare NHS Trust and Imperial College London; and the Medical Research Council, UK. We would like to thank Dr Simon Gibbs, Dr Luke Howard and Prof Martin Wilkins for providing the CMR image data. The TITAN Xp GPU used for this research was kindly donated by the NVIDIA Corporation."
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Last Updated: Aug 05, 2025