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Updated: Jul 25, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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从使用深度学习的超声波图像进行甲状腺结节和淋巴结转移的评估

Xiaohui Zhao1, Gang Zhang2, Xueqin Shen3

  • 1Department of Radiology, Affiliated of Hohhot First Hospital, 5th Clinical College of Inner Mongolia Medical University, Hohhot, China.

Frontiers in neuroscience
|November 19, 2025
PubMed
概括

这项研究开发了一种人工智能超声波工具,以准确区分良性,非转移性和转移性甲状腺结节. 与放射科医生相比,人工智能模型显示出更高的诊断性能,改善了手术前分类.

关键词:
计算机辅助诊断是一种计算机辅助的诊断.医疗图像分析分析 医疗图像分析转移的恶性甲状腺结节.甲状腺结节 甲状腺结节超声波成像的成像方法

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