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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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基于CT的放射学和深度学习用于手术前甲状腺结节分类:系统性审查,元分析和放射科医生比较

Nima Broomand Lomer1, Amir Mahmoud Ahmadzadeh2, Mohammad Amin Ashoobi3

  • 1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 (N.B.L.).

Academic radiology
|October 17, 2025
PubMed
概括

放射学和深度学习模型在使用CT扫描对甲状腺结节进行分类时显示出高准确度. 这些人工智能方法可以提高诊断性能,减少患者不必要的活检.

关键词:
深度学习 (Deep Learning) 是一种深度学习.机器学习 机器学习无线电学 (Radiomics) 是一种无线电学.甲状腺新生体的发生.甲状腺结节 甲状腺结节

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