Training a brain segmentation network on a mix of original adult and new pediatric or contrast data preserves performance on the original cohort while improving accuracy on the new data, whereas training on only the new data degrades the original cohort.
In: Medical Imaging 2010: Image Processing, pp
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Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning
Training a brain segmentation network on a mix of original adult and new pediatric or contrast data preserves performance on the original cohort while improving accuracy on the new data, whereas training on only the new data degrades the original cohort.