Accurate Learning with Few Atlases (ALFA): an algorithm for MRI neonatal brain extraction and comparison with 11 publicly available methods

Accurate Learning with Few Atlases (ALFA): an algorithm for MRI neonatal brain extraction and comparison with 11 publicly available methods

Accurate whole-brain segmentation, or brain extraction, of magnetic resonance imaging (MRI) is a critical first step in most neuroimage analysis pipelines. The majority of brain extraction algorithms have been developed and evaluated for adult data and their validity for neonatal brain extraction, w...

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Bibliographic Details
Main Authors: Serag, Ahmed, Blesa, Manuel, Moore, Emma J., Pataky, Rozalia, Sparrow, Sarah A., Wilkinson, A. G., Macnaught, Gillian, Semple, Scott I., Boardman, James P.
Format: Online
Language:English
Published: Nature Publishing Group 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4806304/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4806304/

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