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Vol-Mark introduces reversible watermarking for 3D medical data

Researchers have developed Vol-Mark, a novel reversible watermarking technique designed to protect the ownership and authenticity of 3D medical volume data. This method utilizes contrastive learning to extract robust volumetric features and a cubic difference expansion technique to embed watermark bits within voxel differences. Vol-Mark aims to ensure data integrity and ownership verification, demonstrating strong robustness against various attacks with accuracy above 0.90 in experiments. AI

IMPACT Introduces a new method for securing sensitive medical data, potentially improving trust in telemedicine and data sharing.

RANK_REASON This is a research paper detailing a novel watermarking technique for medical data. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Vol-Mark introduces reversible watermarking for 3D medical data

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This is a research paper detailing a novel watermarking technique for medical data. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jiangnan Zhu, Yuntao Wang, Shengli Pan, Yujie Gu ·

    Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning

    arXiv:2605.04705v1 Announce Type: cross Abstract: Today, advances in medical technology extensively utilize 3D volume data for accurate and efficient diagnostics. However, sharing these data across networks in telemedicine poses significant security risks of data tampering and un…