The following publications are possibly variants of this publication:
- Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural NetworkXiang Ying, Zhihui Yu, Ruiguo Yu, Xuewei Li, Mei Yu, Mankun Zhao, Kai Liu. iconip 2018: 373-384 [doi]
- Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networksJinlian Ma, Fa Wu, Tian'an Jiang, Qiyu Zhao, Dexing Kong. cars, 12(11):1895-1910, 2017. [doi]
- Fully Convolutional Networks for Ultrasound Image Segmentation of Thyroid NodulesXuewei Li, Shuaijie Wang, Xi Wei, Jialin Zhu, Ruiguo Yu, Mankun Zhao, Mei Yu, Zhiqiang Liu, Shupei Liu. hpcc 2018: 886-890 [doi]
- Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural NetworkDaqing Yang, Jianfu Xia, Rizeng Li, Wencai Li, Jisheng Liu, Rongjian Wang, Dong Qu, Jie You. access, 12:22662-22670, 2024. [doi]
- Ultrasound Image Segmentation Algorithm of Thyroid Nodules Based on Improved U-Net NetworkJianhong Gan, Rongqiao Zhang. ccris 2022: 61-66 [doi]
- A New Classification Method in Ultrasound Images of Benign and Malignant Thyroid Nodules Based on Transfer Learning and Deep Convolutional Neural NetworkWeibin Chen, Zhiyang Gu, Zhimin Liu, Yaoyao Fu, Zhipeng Ye, Xin Zhang, Lei Xiao. complexity, 2021, 2021. [doi]