Adaptive Dual-Task Deep Learning for Automated Thyroid Cancer Triaging at Screening US

作者：Shaohong Wu, Ming-De Li, Wenjuan Tong, Yihao Liu, Rui Cui, Jinbo Hu, Mei-Qing Cheng, Wei-Ping Ke, Xin-Xin Lin, Jiayi Lv, Longzhong Liu, Jie Ren, Guangjian Liu, Hong Yang, Wei Wang · 发表于：Radiology Artificial Intelligence · 年份：2025 · DOI：10.1148/ryai.240271 · 被引用次数：7 · 研究领域：Thyroid Cancer Diagnosis and Treatment、Artificial Intelligence in Healthcare and Education、Global Cancer Incidence and Screening

The adaptive dual-task deep learning model, ThyNet-S, demonstrated exceptional performance in enhancing thyroid cancer US screening efficiency and improved clinical decision-making.