Automated Segmentation of MR Images of Brain Tumors
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- 1 February 2001
- journal article
- research article
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 218 (2) , 586-591
- https://doi.org/10.1148/radiology.218.2.r01fe44586
Abstract
An automated brain tumor segmentation method was developed and validated against manual segmentation with three-dimensional magnetic resonance images in 20 patients with meningiomas and low-grade gliomas. The automated method (operator time, 5-10 minutes) allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation (operator time, 3-5 hours), making automated segmentation practical for low-grade gliomas and meningiomas.Keywords
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