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训练用于电磁医学成像的通用深度学习网络,使用大量随机对象数据库

Fei Xue1, Lei Guo1, Alina Bialkowski1

  • 1School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane 4072, Australia.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
概括

这项研究介绍了一种多样化,随机生成的数据集,用于训练电磁医学成像中的深度学习模型. 这种方法提高了模型的普遍性和准确性,用于复杂场景中的允许性概况重建.

关键词:
感应天线传感器我们的数据库数据库数据库数据库.深度学习是一种深度学习.电磁成像技术的使用

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