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]
@inproceedings{ZhangBWZND19,
title = {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},
author = {DongQing Zhang and Rueben Banalagay and Jianing Wang and Yiyuan Zhao and Jack H. Noble and Benoit M. Dawant},
year = {2019},
doi = {10.1117/12.2512529},
url = {https://doi.org/10.1117/12.2512529},
researchr = {https://researchr.org/publication/ZhangBWZND19},
cites = {0},
citedby = {0},
pages = {1094907},
booktitle = {Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019},
editor = {Elsa D. Angelini and Bennett A. Landman},
volume = {10949},
series = {SPIE Proceedings},
publisher = {SPIE},
}