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Radiology, Vol. 218, No. 2. (1 February 2001), pp. 586-591 Key: citeulike:3842974
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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.
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