RETRACTED ARTICLE: LPG: a novel approach for medical forgery detection in image transmission

被引:0
|
作者
M. Arun Anoop
S. Poonkuntran
机构
[1] Velammal College of Engineering and Technology,Department of Computer Science and Engineering
[2] Viraganoor,undefined
来源
Journal of Ambient Intelligence and Humanized Computing | 2021年 / 12卷
关键词
Machine learning algorithm; Local patterns of gray level (LPG); Medical image forgery detection; MIAS database; IOMIT-internet medical image transmission;
D O I
暂无
中图分类号
学科分类号
摘要
Medical image transmission using IoT has become the hot field in the today’s world of research, but the attacks or manipulating the images, has become the real threat to the medical field. Physicians diagnose always depends on the digital image(s). Small change in the medical image may threaten patient’s life. Early detection of forgery may help a patient’s life from danger. Hence the most intelligent algorithm developing is required for the above mentioned attacks. To meet the above criteria, most intelligent LPG algorithm has been proposed. LPG algorithm has been integrated with the cognitive extreme learning machines for detection. The proposed algorithm has been evaluated with the mammograms breast cancer images and accuracy detection is found to be more accuracy based on activation function compared with the other existing recent papers.
引用
收藏
页码:4925 / 4941
页数:16
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