Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning

作者：

Highlights：

• First employment of CNN segmentation on multiparametric MR images for a large VS cohort.

• Two-pathways U-Net could effectively segment VS from anisotropic multiparametric MR images.

• Segment VSs with both solid and cystic parts using multiparametric images.

摘要

•First employment of CNN segmentation on multiparametric MR images for a large VS cohort.•Two-pathways U-Net could effectively segment VS from anisotropic multiparametric MR images.•Segment VSs with both solid and cystic parts using multiparametric images.

论文关键词：Magnetic resonance imaging,Vestibular schwannoma,gamma knife,Convolutional neural network

论文评审过程：Received 5 December 2019, Revised 22 April 2020, Accepted 9 June 2020, Available online 20 June 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101911