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.
International Journal of Radiation Oncology* Biology* Physics 48(5), 1359–1362 (2000)
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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.