most citedAccuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

23 citations · 23 across the 1 of their papers we have counts for

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1 paper

cs.CV2018★ 23 cited

Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

Hung P. Do, Yi Guo, Andrew J. Yoon +1

PURPOSE: To apply deep CNN to the segmentation task in myocardial arterial spin labeled (ASL) perfusion imaging and to develop methods that measure uncertainty and that adapt the C…