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

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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]

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• Vol-Mark
• arXiv
• contrastive learning
• cubic difference expansion
• 3D medical volume data
• telemedicine
• wavelet transform
• voxel

• paper
• other