A Multi-step Machine Learning Approach for Short Axis MR Images Segmentation
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-78710-3_13
Reference19 articles.
1. Ayachit, U.: The ParaView Guide: A Parallel Visualization Application. Kitware (2015)
2. Lecture Notes in Computer Science;CF Baumgartner,2018
3. Bernard, O., et al.: Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE Trans. Med. Imaging 37(11), 2514–2525 (2018)
4. Chen, C., et al.: Deep learning for cardiac image segmentation: a review. Front. Cardiovasc. Med. 7, 25 (2020). https://doi.org/10.3389/fcvm.2020.00025. https://www.frontiersin.org/article/10.3389/fcvm.2020.00025
5. Ferdian, E., et al.: Fully automated myocardial strain estimation from cardiovascular MRI–tagged images using a deep learning framework in the UK Biobank. Radiol. Cardiothorac. Imaging 2(1), e190032 (2020). https://doi.org/10.1148/ryct.2020190032
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