Accuracy of vestibular schwannoma segmentation using deep learning models - a systematic review & meta-analysis.

Paweł Marek Łajczak Jakub Matyja Kamil Jóźwik Zbigniew Nawrat

Published in: Neuroradiology (2024)

In conclusion, this meta-analysis provides comprehensive review into the current landscape of automated VS segmentation using DL. The high Dice score indicates promising agreement in segmentation, yet challenges like bias and heterogeneity must be addressed in the future research.

Keyphrases

deep learning
systematic review
convolutional neural network
artificial intelligence
meta analyses
machine learning
single cell
current status
hearing loss