A two-headed CNN that predicts the brain midline as a probability distribution over positions and derives midline shift from the predicted curve achieves near-expert accuracy on internal and external MRI datasets.
Journal of neurotrauma 28(2), 203–215 (2011)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
A two-headed CNN that predicts the brain midline as a probability distribution over positions and derives midline shift from the predicted curve achieves near-expert accuracy on internal and external MRI datasets.