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technologyApr 27, 201923:32pending

Deep Learning threatens 3D medical imaging integrity.

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Researchers at Ben Gurion University in Israel have developed techniques to infiltrate medical imaging system networks and alter 3D medical scans within, fooling both human and automated examiners with a high rate of success.  Yisroel Mirsky is a cybersecurity researcher and project manager at Ben Gurion University, and he joins us to share what his team discovered. The original research can be found here: https://arxiv.org/pdf/1901.03597.pdf A video demonstrating the exploit is here: https://youtu.be/_mkRAArj-x0

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Deep Learning threatens 3D medical imaging integrity.

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