Ultrasound-Based Deep Learning Radiomics to Predict Cervical Lymph Node Metastasis in Major Salivary Gland Carcinomas

Introduction and Aims: Cervical lymph node metastasis (CLNM) critically impacts surgery approaches, prognosis, and recurrence in patients with major salivary gland carcinomas (MSGCs). We aimed to develop and validate an ultrasound (US)-based deep learning (DL) radiomics model for noninvasive predict...

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Detalles Bibliográficos

Principais autores:	Huan-Zhong Su, Long-Cheng Hong, Zhi-Yong Li, Qiao-Min Fu, Yu-Hui Wu, Shao-Feng Wu, Zuo-Bing Zhang, Dao-Hui Yang, Xiao-Dong Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-12-01
Series:	International Dental Journal
Assuntos:	Major salivary gland carcinomas Ultrasound Cervical lymph node metastasis Radiomics Deep learning
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S002065392503179X
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