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Abstract The rapid growth of telemedicine, cloud-assisted diagnostics, and picture archiving systems has made the secure handling of medical images a central requirement in modern healthcare. Yet many existing medical image ciphers are either computationally heavy, which often require complex arithmetic, multiple chaotic maps, or public-key primitives that hinder implementation on resource-constrained platforms and complicate formal security tuning.
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