Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

Hari McGrathPeichao LiReuben DorentRobert BradfordShakeel SaeedSotirios BisdasSebastien OurselinJonathan ShapeyTom Vercauteren

Published in: International journal of computer assisted radiology and surgery (2020)

We suggest that semi-automated segmentation could be applied clinically for volumetric measurement of VS on MRI. In future, the generic software could be refined for use specifically for VS segmentation, thereby improving accuracy.

Keyphrases

deep learning
convolutional neural network
magnetic resonance imaging
machine learning
contrast enhanced
high throughput
computed tomography
hearing loss