Deep learning to predict risk of lateral skull base cerebrospinal fluid leak or encephalocele.

Steven D Curry Kieran S Boochoon Geoffrey C Casazza Daniel L Surdell Justin A Cramer

Published in: International journal of computer assisted radiology and surgery (2024)

CNNs can be used to segment the cross-sectional area of the FO accurately and efficiently. Used together with other predictors, this method could be used as part of a clinical tool to predict the risk of sCSF leak or encephalocele.

Keyphrases

cerebrospinal fluid
deep learning
cross sectional
minimally invasive
artificial intelligence
machine learning
convolutional neural network