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GUI based smart breast cancer identification system for mammographic images through 2nd level secured combined Crypto-watermarking

机译:通过2 nd 级安全结合的加密水印技术,基于GUI的乳腺X线图像智能乳腺癌识别系统

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Current paper presents a new type of GUI based secure breast cancer identification system through a combination of Cryptography and Biomedical Image Watermarking. Through this scheme 2 level of security can be applied for the embedded data in mammographic images. Several information related to patients (EPR), infected region (ROI), doctor's name and diagnosis from symptoms are encrypted in the 1 level using RSA encryption and then embedded in the mammographic image itself in the 2 level using Bit Plane Slicing watermarking technique. The infected region is identified through region growing and contour detection algorithm which needs to be perfect for accurate ROI identification resulting a better treatment. Values of several image quality metrics show that the proposed GUI based breast cancer diagnostic system is good enough for successful recovery of all the embedded information exactly similar. The simplicity and easiness of the complete GUI also makes the entire system user friendly even to the non-medical technical person.
机译:当前论文结合了密码术和生物医学图像水印技术,提出了一种基于GUI的新型安全乳腺癌识别系统。通过此方案,可以将2级安全性应用于乳房X线照片中的嵌入式数据。使用RSA加密将与患者(EPR),受感染区域(ROI),医生的姓名和症状相关的诊断信息加密为1级,然后使用位平面切片水印技术以2级嵌入到乳房X线照相图像本身中。通过区域生长和轮廓检测算法可以识别出受感染的区域,这对于精确的ROI识别(需要更好的治疗)是非常理想的。几个图像质量度量的值表明,所提出的基于GUI的乳腺癌诊断系统足以成功恢复所有完全相似的嵌入信息。完整的GUI的简单易用性也使整个系统对非医学技术人员来说都非常友好。

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