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There is urgent need for accurate segmentation algorithms for infant brain magnetic resonance (MR) images, which is significant for the development of infant brain science in the future. However, the infant MR images brain segmentation is still an extremely challenged task since the fetus is in the process of myelin formation and maturation, its brain tissue is not yet fully developed. There is poor contrast between gray matter(GM) and white matter(WM) in brain tissues in both T1-weighted (T1w)dblp:journals/ajiips/XuhengZCHD19 fatcat:6x2sistjsbe6flimbmkrgxthim