Auto‐segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning
Medical Physics2022Vol. 50(1), pp. 284–296
Citations Over TimeTop 11% of 2022 papers
Wenlong Qiu, Wei Zhang, Xingmin Ma, Youyong Kong, Pengyue Shi, Min Fu, Dandan Wang, Man Hu, Xianjun Zhou, Qian Dong, Qichao Zhou, Zhu Jian
Abstract
Deep learning-based models have presented enormous potential for the auto-segmentation of important growth centers in pediatric skeleton, where the proposed TAU-Net outperformed the U-Net and V-Net in geometrical precision for the majority status.
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