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Updated: Jan 30, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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深度学习用于对甲状腺结节冷部分的多任务预测

Chunyang Wang1, Juan Hu2, Xiang Li3

  • 1School of Life Sciences, Central South University, Changsha, China.

Frontiers in oncology
|January 29, 2026
PubMed
概括

深度学习模型准确地分类甲状腺结节,并从冷部分预测BRAF突变. 弱监督的方法显示出希望,减少了病理学家对甲状腺癌诊断的依赖.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.冰的部分是冷的.病理图像 病理图像 病理图像甲状腺癌是一种癌症.

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