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.
Handbook of research on machine learning applications and trends: algorithms, methods, and techniques, pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.