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Segmentation of T1-MRI of the Human Cortex Using a 3DGrey-level Morphology Approach
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2003 (English)Conference paper (Refereed)
Abstract [en]

In this paper, an algorithm for fully automatic segmentation of the cortex from T1-weighted transversal, coronal, or sagittal MRI data is presented. The segmentation algorithm uses a histogram-based method to find accurate threshold values. There are four

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Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:uu:diva-46762OAI: oai:DiVA.org:uu-46762DiVA: diva2:74669
Available from: 2005-08-26 Created: 2005-08-26

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Computer Vision and Robotics (Autonomous Systems)

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