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Ultrasound radiomics-based machine learning models for risk stratification of follicular thyroid tumors

BackgroundFollicular thyroid carcinoma (FTC) is the second most common malignant thyroid tumor. Preoperative differentiation among follicular thyroid adenoma (FA), follicular tumor of uncertain malignant potential (FT-UMP), and FTC remains challenging using conventional ultrasound and fine-needle as...

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Autori principali: Ya Yuan, Xinyue Wang, Hongyan Deng, Kunpeng Cao, Fei Yu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2026-01-01
Serie:Frontiers in Oncology
Soggetti:
follicular thyroid tumors
machine learning
peritumoral radiomics
risk stratification
ultrasound
Accesso online:https://www.frontiersin.org/articles/10.3389/fonc.2025.1707586/full
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