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Introduction This paper focuses on the procedures, including data and training, needed for convolutional neural net learning to segment the brain cavity within structural magnetic resonance imaging (MRI). Convolutional neural nets (CNNs) (Bengio, 2009) are particularly well suited for image analysis and have recently been used in a variety of applications for medical image processing (Litjens et al., 2017; Zhang et al., 2017; Lundervold and Lundervold, 2019).
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