Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data - researchr publication authors

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DongQing Zhang, Rueben Banalagay, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant. Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data. In Elsa D. Angelini, Bennett A. Landman, editors, Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019. Volume 10949 of SPIE Proceedings, pages 1094907, SPIE, 2019. [doi]

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