A brain extraction algorithm for infant T2 weighted magnetic resonance images based on fuzzy c-means thresholding
Abstract It is challenging to extract the brain region from T2-weighted magnetic resonance infant brain images because conventional brain segmentation algorithms are generally optimized for adult brain images, which have different spatial resolution, dynamic changes of imaging intensity, brain size...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/b8a75ca265314cd0b83431c1e29b7bd9 |
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