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In cardiac magnetic resonance imaging, fully-automatic segmentation of the heart enables precise structural and functional measurements to be taken, e.g.
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Hu, H., Liu, H., Gao, Z., Huang, L.: Hybrid segmentation of left ventricle in cardiac MRI using gaussian-mixture model and region restricted dynamic programming. Magnetic Resonance Imaging 31(4), 575–584 (2013)
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Ngo, T.A., Carneiro, G.: Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks. In: ICIP. pp. 695–699 (2013)
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Avendi, M.R., Kheradvar, A., Jafarkhani, H.: A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI. Medical Image Analysis 30, 108–119 (May 2016)
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Ngo, T.A., Lu, Z., Carneiro, G.: Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Medical Image Analysis 35, 159–171 (2017)
2017
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