Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography Datasets
We present an optimized algorithm that performs automatic classification of white matter fibers based on a multi-subject bundle atlas. We implemented a parallel algorithm that improves upon its previous version in both execution time and memory usage. Our new version uses the local memory of each pr...
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Published in | Proceedings (International Symposium on Biomedical Imaging) pp. 178 - 181 |
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Main Authors | , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2019
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Subjects | |
Online Access | Get full text |
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