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Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus

✍ Scribed by C. Jongen; J. van der Grond; L. J. Kappelle; G. J. Biessels; M. A. Viergever; J. P. W. Pluim; on behalf of the Utrecht Diabetic Encephalopathy Study Group


Publisher
Springer
Year
2007
Tongue
English
Weight
198 KB
Volume
50
Category
Article
ISSN
0012-186X

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## Abstract ## Purpose: To develop an automated lesion‐filling technique (LEAP; LEsion Automated Preprocessing) that would reduce lesion‐associated brain tissue segmentation bias (which is known to affect automated brain gray [GM] and white matter [WM] tissue segmentations in people who have multi