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Updated: Jan 15, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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深度学习用于超声波分类,以识别具有乳头状核特征的非侵入性卵泡甲状腺新生体

I-Hung Chien1, Yi-Chiung Hsu2,3,4, Shih-Ping Cheng5,6,7

  • 1School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Journal of imaging informatics in medicine
|January 13, 2026
PubMed
概括

深度学习模型在使用超声波图像从其他封装甲状腺瘤中区分具有乳头状核特征 (NIFTP) 的非侵入性卵泡甲状腺瘤方面表现有前途. 这些人工智能工具实现了有希望的准确性,有助于手术前诊断.

关键词:
深度学习是一种深度学习.非侵入性的卵泡甲状腺新生体.接收器的运行特征曲线.甲状腺超声波超声波是什么

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