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Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images
[chapter]
2018
Lecture Notes in Computer Science
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. This is also doomed to hit computational limits, e.g., memory or runtime feasible for training. Incremental learning can be a potential solution, where new information
doi:10.1007/978-3-030-00937-3_42
fatcat:3wyfgbqf7fctzko5tqztsvgf7e