Does automated segmentation using spatio-temporal convolutional neural networks provide robust agreement with manual segmentation for myocardial strain analysis in DENSE cardiovascular magnetic resonance?
Spatio-temporal deep learning enables robust automated segmentation of DENSE CMR images, potentially facilitating its integration into routine clinical practice for myocardial strain analysis.
Spatio-temporal deep learning shows increased robustness for the segmentation of cine DENSE images. It provides excellent agreement with manual segmentation for strain extraction. Deep learning will facilitate the analysis of DENSE data, bringing it one step closer to clinical routine.
Barbaroux et al. (Wed,) studied this question.
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