Fine-tuning a CNN pretrained on T2 and bSSFP cardiac MRI on only five LGE-MR subjects yields 84.5% average Dice on LGE segmentation, far better than training from scratch.
Com- puterized Medical Imaging and Graphics (59) (2017) 13–27
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Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
Fine-tuning a CNN pretrained on T2 and bSSFP cardiac MRI on only five LGE-MR subjects yields 84.5% average Dice on LGE segmentation, far better than training from scratch.