Fully automated intracranial ventricle segmentation on CT with 2D regional convolutional neural network to estimate ventricular volume

Hydrocephalus is a clinically significant condition which can have devastating consequences if left untreated. Currently available methods for quantifying this condition using CT imaging are unreliable and prone to error. The purpose of this study is to investigate the clinical utility of using convolutional neural networks to calculate ventricular volume and explore limitations. A two-dimensional convolutional neural network was designed to...