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A brain tumor segmentation framework based on outlier detection.

Marcel Prastawa1, Elizabeth Bullitt, Sean Ho

  • 1Department of Computer Science, University of North Carolina, CB #3175, Sitterson Hall, Chapel Hill, NC 27599, USA. prastawa@cs.unc.edu

Medical Image Analysis
|September 29, 2004
PubMed
Summary
This summary is machine-generated.

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This study presents a novel framework for automatic brain tumor and edema segmentation using only T2 MR images, improving diagnostic accuracy without contrast agents. The method enhances segmentation by utilizing additional non-enhanced MRI channels for better tissue differentiation.

Failed At:

2026-06-19T13:41:47.958771+00:00

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