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RobMedNAS:寻找强大的神经网络架构用于医疗图像合成

Jinnian Zhang1, Weijie Chen1, Tanmayee Joshi1

  • 1Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States of America.

Biomedical physics & engineering express
|August 13, 2024
PubMed
概括

这项研究提高了U-Net模型的稳定性,用于使用RobMedNAS进行医学图像合成,这是一个新的神经架构搜索. RobMedNAS优化了U-Net以抵御敌对攻击,确保准确的医疗图像处理.

关键词:
图像合成 图像合成神经架构搜索 (NAS) 是指神经架构搜索.强度 坚固性 坚固性

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Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).