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有效地生成预训练样本,通过转移学习开发深度学习脑损伤模型.

Nan Lin1, Shaoju Wu1, Zheyang Wu2

  • 1Department of Biomedical Engineering, Worcester Polytechnic Institute, 60 Prescott Street, Worcester, MA, 01605, USA.

Annals of biomedical engineering
|August 29, 2023
PubMed
概括

使用变压器神经网络 (TNN) 生成预训练样本,大大降低了训练深度学习脑损伤模型的计算成本. 这种方法提高了卷积神经网络 (CNN) 的准确性,特别是有限的微调数据.

关键词:
卷积神经网络是一种卷积神经网络.综合数据 综合数据转移学习转移学习变压器神经网络 变压器神经网络创伤性脑损伤是一种创伤性脑损伤.

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