Towards a generalized deep learning framework for production scale segmentation of brain structures

Background Whole brain segmentation from magnetic resonance imaging (MRI) remains a vital step in analysis workflows. We developed a deep learning framework that dramatically reduces the computational and human resources required for removal of non‐brain tissues. Segmentation of brain structures is currently resource intensive and remains a bottleneck in the analysis pipeline. Here we report on the capabilities of our previously developed deep...