Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study

Zelong Liu, Louisa Deyer, Arnold Yang, Steven Liu, Jingqi Gong, Yang Yang, Mingqian Huang, Amish Doshi, Meng Lu, Denise Lee, Timothy Deyer, XueYan Mei. Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study. In 22nd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2022, Taichung, Taiwan, November 7-9, 2022. pages 23-28, IEEE, 2022. [doi]

@inproceedings{LiuDYLGYHDLLDM22,
  title = {Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study},
  author = {Zelong Liu and Louisa Deyer and Arnold Yang and Steven Liu and Jingqi Gong and Yang Yang and Mingqian Huang and Amish Doshi and Meng Lu and Denise Lee and Timothy Deyer and XueYan Mei},
  year = {2022},
  doi = {10.1109/BIBE55377.2022.00013},
  url = {https://doi.org/10.1109/BIBE55377.2022.00013},
  researchr = {https://researchr.org/publication/LiuDYLGYHDLLDM22},
  cites = {0},
  citedby = {0},
  pages = {23-28},
  booktitle = {22nd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2022, Taichung, Taiwan, November 7-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8487-9},
}