Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.
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DOI: 10.1002/mp.15919
Abstract: BACKGROUND Routinely delineating of important skeletal growth centers is imperative to mitigate radiation-induced growth abnormalities for pediatric cancer patients treated with radiotherapy. However, it is hindered by several practical problems including difficult identification, time consumption… read more here.
Keywords: growth; growth centers; auto segmentation; tau net ... See more keywords