Automatic segmentation of vestibular schwannomas from T1-weighted MRI with a deep neural network

Automatic segmentation of vestibular schwannomas from T1-weighted MRI with a deep neural network

Abstract Background Long-term follow-up using volumetric measurement could significantly assist in the management of vestibular schwannomas (VS). Manual segmentation of VS from MRI for treatment planning and follow-up assessment is labor-intensive and time-consuming. This study aims to develop a dee...

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Bibliographic Details
Main Authors: Hesheng Wang, Tanxia Qu, Kenneth Bernstein, David Barbee, Douglas Kondziolka
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Radiation Oncology
Subjects:
Image segmentation
Vestibular schwannomas
Radiosurgery
Deep neural network
MRI
Online Access:https://doi.org/10.1186/s13014-023-02263-y

Internet

https://doi.org/10.1186/s13014-023-02263-y

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