A deep learning model segments myocardial T1/T2 maps with accuracy comparable to human experts, and a random forest combining multiple statistical features improves automated disease detection.
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Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection
A deep learning model segments myocardial T1/T2 maps with accuracy comparable to human experts, and a random forest combining multiple statistical features improves automated disease detection.