首页|期刊导航|大数据挖掘与分析(英文版)|Multimodal Nested Attention Network for Lymph Node Metastasis Prediction of Thyroid Carcinoma

Multimodal Nested Attention Network for Lymph Node Metastasis Prediction of Thyroid CarcinomaOA

Multimodal Nested Attention Network for Lymph Node Metastasis Prediction of Thyroid Carcinoma

Guojun Li;Chulin Sha;Min He;Jincao Yao;Chanjuan Peng;Yinjie Hu;Xuhan Feng;Jianfeng Yang;Xingyu Gao;Dong Xu;Xiaolin Li

Academy of Medical Engineering and Translational Medicine,Tianjin University,Tianjin 300072,China||Hangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou 310000,ChinaHangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou 310000,ChinaHangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou 310000,ChinaZhejiang Cancer Hospital,Hangzhou 310022,ChinaZhejiang Cancer Hospital,Hangzhou 310022,China||Department of Ultrasound,Women's Hospital,Zhejiang University School of Medicine,Hangzhou 310000,ChinaHangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou 310000,ChinaHangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou 310000,ChinaShaoxing People's Hospital,Shaoxing 312000,ChinaInstitute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China||Institute of Microelectronics,University of Chinese Academy of Sciences,Beijing 100049,ChinaZhejiang Cancer Hospital,Hangzhou 310022,ChinaHangzhou Institute of Medicine,Chinese Academy of Sciences,Hangzhou 310000,China

multimodal learningdeep learningthyroid cancerLymph Node Metastasis(LNM)UltraSound(US)Computed Tomography(CT)

multimodal learningdeep learningthyroid cancerLymph Node Metastasis(LNM)UltraSound(US)Computed Tomography(CT)

《大数据挖掘与分析(英文版)》 2026 (1)

178-197,20

This work was supported by the Science and Technology Innovation(STI)2030—Major Projects(No.2022ZD0208700),the National Natural Science Foundation of China(Nos.32200524,62376264,62475239,and 82071946),the Natural Science Foundation of Zhejiang Province(No.LZY21F030001),the Pioneer and Leading Goose R&D Program of Zhejiang(No.2023C04039),the National Key Research and Development Program of China(No.2022YFF0608403),the Zhejiang Province Medical and Health Science and Technology Project(No.2023KY581),and the Zhejiang Leading Innovation and Entrepreneurship Team(No.2022R01006).We thank Yuan Gao for providing us external validation set.

10.26599/BDMA.2025.9020046

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