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Updated: Jul 23, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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通过多重注意引导的联合学习UNet用于甲状腺结节细分超声图像的甲状腺结节细分

Zhuo Xiang1, Xiaoyu Tian1, Yiyao Liu1

  • 1National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, PR China.

Neural networks : the official journal of the International Neural Network Society
|October 3, 2024
PubMed
概括

这项研究引入了一种新型的多重注意引导UNet (MAUNet),用于在超声波图像中精确细分甲状腺结节. MAUNet模型在多中心数据集中展示了卓越的准确性和概括性,改善了早期诊断能力.

关键词:
深度学习是一种深度学习.联合学习是联合学习.多重注意力引导的UNETET.甲状腺结节细分的细分超声波图像中的超声波图像.

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