Quan Li, Yan Li, Xiaoyi Chen, Ni Zhang. An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Volume 12261 of Lecture Notes in Computer Science, pages 43-52, Springer, 2020. [doi]
@inproceedings{LiLCZ20-2,
title = {An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition},
author = {Quan Li and Yan Li and Xiaoyi Chen and Ni Zhang},
year = {2020},
doi = {10.1007/978-3-030-59710-8_5},
url = {https://doi.org/10.1007/978-3-030-59710-8_5},
researchr = {https://researchr.org/publication/LiLCZ20-2},
cites = {0},
citedby = {0},
pages = {43-52},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I},
editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
volume = {12261},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-59710-8},
}