Medical image cipher using hierarchical diffusion and non-sequential encryption

2019 ◽  
Vol 96 (1) ◽  
pp. 301-322 ◽  
Author(s):  
Junxin Chen ◽  
Lei Chen ◽  
Leo Yu Zhang ◽  
Zhi-liang Zhu
Keyword(s):  
Medical Image ◽  
Image Cipher ◽  
Hierarchical Diffusion

scholarly journals Graph Regularized Hierarchical Diffusion Process With Relevance Feedback for Medical Image Retrieval

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25062-25072
Author(s):  
Liming Xu ◽  
Xiaopeng Yao ◽  
Lisha Zhong ◽  
Jianbo Lei ◽  
Zhiwei Huang
Keyword(s):  
Diffusion Process ◽  
Image Retrieval ◽  
Relevance Feedback ◽  
Medical Image ◽  
Medical Image Retrieval ◽  
Hierarchical Diffusion

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

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