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

被引：0
|
作者：
Hari McGrath
Peichao Li
Reuben Dorent
Robert Bradford
Shakeel Saeed
Sotirios Bisdas
Sebastien Ourselin
Jonathan Shapey
Tom Vercauteren
机构：
[1] King’s College London,GKT School of Medical Education
[2] King’s College London,School of Biomedical Engineering and Imaging Sciences
[3] National Hospital for Neurology and Neurosurgery,Queen Square Radiosurgery Centre (Gamma Knife)
[4] National Hospital for Neurology and Neurosurgery,Department of Neurosurgery
[5] UCL,The Ear Institute
[6] The Royal National Throat Nose and Ear Hospital,Neuroradiology Department
[7] National Hospital for Neurology and Neurosurgery,Wellcome/EPSRC Centre for Interventional and Surgical Sciences
[8] UCL,undefined
来源：
International Journal of Computer Assisted Radiology and Surgery | 2020年 / 15卷
关键词：
Segmentation; Vestibular schwannoma; Neuroimaging; Machine learning; Imaging;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1445 / 1455
页数：10
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