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Open access Sep 2026

Deep Learning Analysis of Dual-Modality US Videos for the Characterization of Superficial Lymphadenopathy.

Purpose To develop and validate a deep learning (DL) model based on dual-modality US videos to differentiate benign from malignant superficial lymphadenopathy (LA) and stratify malignant subtypes. Materials and Methods This multicenter study included patients with pathologically confirmed LA from five centers (June 201...

Yang-Yang Zhu, Ran Cao, Zhi-Bin Zhu et al. · 0 citations
Aug 2026

Ultrasound-based area ossification ratios for pediatric radiographic bone age: Development and internal validation of a radiation-free nomogram.

PURPOSE Radiographic bone age (BA) assessment involves ionizing radiation, limiting its utility in frequent longitudinal follow-up. This study developed and internally validated a radiation-free nomogram based on multi-site two-dimensional ultrasound area ossification ratios (ORs) to assess Zhonghua-05 (RUS-CHN) radiog...

Yongzhi Deng, Lu Qiang, Tailong Wang et al. · 0 citations

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