Deep Learning for Cardiac Image Segmentation: A Review

@article{Chen2020DeepLF,
  title={Deep Learning for Cardiac Image Segmentation: A Review},
  author={C. Chen and C. Qin and Huaqi Qiu and G. Tarroni and J. Duan and Wenjia Bai and D. Rueckert},
  journal={Frontiers in Cardiovascular Medicine},
  year={2020},
  volume={7}
}
  • C. Chen, C. Qin, +4 authors D. Rueckert
  • Published 2020
  • Computer Science, Medicine, Engineering, Biology
  • Frontiers in Cardiovascular Medicine
Deep learning has become the most widely used approach for cardiac image segmentation in recent years. In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound and major anatomical structures of interest (ventricles, atria, and vessels). In addition, a summary of publicly available cardiac image datasets and code repositories… Expand
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