Fusion model combining ultrasound-based radiomics and deep transfer learning with clinical parameters for preoperative prediction of pelvic lymph node metastasis in cervical cancer

BackgroundTo develop and validate a multimodal fusion model integrating ultrasound-based radiomics, deep transfer learning (DTL), and clinical parameters for preoperative pelvic lymph node metastasis (PLNM) prediction in cervical cancer.MethodsA retrospective cohort of 421 patients with surgically c...

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Bibliografische gegevens

Hoofdauteurs:	Jihan Wang, Shengxian Bao, Tongtong Huang, Yongzhi Cai, Binbin Jin, Ji Wu
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2025-11-01
Reeks:	Frontiers in Oncology
Onderwerpen:	cervical cancer radiomics lymph node metastasis ultrasound featurefusion nomogram
Online toegang:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1681029/full
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