Yifei Xie, Zhengfei Yang, Qiyu Yang, Dongning Liu, Shuzhuang Tang, Lin Yang, Xuan Duan, Changming Hu, Yu-Jing Lu, Jiaxun Wang
Thyroid ultrasound is a widely used diagnostic technique for thyroid nodules in clinical practice. However, due to the characteristics of ultrasonic imaging, such as low image contrast, high noise levels, and heterogeneous features, detecting and identifying nodules remains challenging. In addition, high-quality labeled medical imaging datasets are rare, and thyroid ultrasound images are no exception, posing a significant challenge for machine learning applications in medical image analysis. In this study, we propose a Dual-branch Attention Learning (DBAL) convolutional neural network framework to enhance thyroid nodule detection by capturing contextual information...
December 2024: Health Information Science and Systems