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Embedding and Extraction Techniques for Medical Images-Issues and Challenges

机译:医学图像的嵌入与提取技术-问题与挑战

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New technologies in multimedia and communication fields have introduced new ways totransfer and save the medical image data through open networks, which has introduced newrisks of inappropriate use of medical information. Medical images are highly sensitive hencesecured transmission and reception of data is needed with minimal distortion. Medical imagesecurity plays an important role in the field of Telemedicine. Telemedicine has numerousapplications in teleconsulting, teleradiology, telediagnosis, telesurgery and remote medicaleducation. Our work is to analyze about the different embedding techniques that can be usedfor embedding the personal and diagnosed details of a person within the medical imageswithout any visual discrepancy. Also to survey about the blind extraction algorithm utilizinggenetic algorithm for optimization of the key parameters.
机译:多媒体和通信领域的新技术引入了通过开放网络传输和保存医学图像数据的新方法,这带来了不适当地使用医学信息的新风险。医学图像是高度敏感的,因此需要以最小的失真来确保数据的安全发送和接收。医学图像安全性在远程医疗领域中发挥着重要作用。远程医疗在远程咨询,远程放射学,远程诊断,远程外科和远程医学教育中具有众多应用。我们的工作是分析可用于在没有任何视觉差异的情况下将人的个人和诊断细节嵌入医学图像中的不同嵌入技术。还对利用遗传算法优化关键参数的盲提取算法进行了研究。

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