Learn the new, keep the old: Extending pretrained models with new anatomy and images

1 Jun 2018Firat OzdemirPhilipp FuernstahlOrcun Goksel

Deep learning has been widely accepted as a promising solution for medical image segmentation, given a sufficiently large representative dataset of images with corresponding annotations. With ever increasing amounts of annotated medical datasets, it is infeasible to train a learning method always with all data from scratch... (read more)

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