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Grey-Level Morphology Combined with an Artificial Neural Networks Aproach for Multimodal Segmentation of the Hippocampus
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]

This paper presents an algorithm that continues segmentation from a semi automatic artificial neural network (ANN) segmentation of the hippocampus of registered T1-weighted and T2-weighted MRI data. Due to the morphological complexity of the hippocampus a

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Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:uu:diva-46764OAI: oai:DiVA.org:uu-46764DiVA: diva2:74671
Available from: 2005-08-26 Created: 2005-08-26

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Computer Vision and Robotics (Autonomous Systems)

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