重新思考医疗成像AI中的隐私:从元数据和像素级识别风险到联合学习和合成数据挑战

Konstantina Giouroukou1,2, Kostas Marias2,3, Manolis Tsiknakis2,3

  • 1Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Street Address, 71003 Heraklion, Crete, Greece.

PubMed
概括

在医学成像中保护患者隐私,人工智能需要消除元数据和像素级图像数据的识别. 像联合学习和合成数据这样的先进方法对复杂的攻击有局限性.

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