Super-Large Medical Image Storage and Display Technology Based on Concentrated Points of Interest

Author(s):  
Jun Yan ◽  
Yuli Wang ◽  
Haiou Li ◽  
Weizhong Lu ◽  
Hongjie Wu
SMPTE Journal ◽  
1986 ◽  
Vol 95 (8) ◽  
pp. 805-810 ◽  
Author(s):  
H. Richard Leiner

2014 ◽  
Vol 543-547 ◽  
pp. 3667-3670 ◽  
Author(s):  
Jian Xin Zhu

Along with the rapid development of image acquisition and image storage, a huge number of usable image data are obtained by people, such as satellite remote sensing image data, medical image data, etc. Data mining of images is to analyze these useful images and extract the usable information from them. How to effectively store rapidly make data mining for the increasing images has become the most challenging problem faced by people. This paper focuses on data mining of the massive images with the help of the Hadoop cloud platform.


Author(s):  
Branko Livada

Digital medical imaging technology is developing rapidly in the last few decades and widely used as medical diagnostic tool. Medical image visual content analysis and interpretation is the most often method applied in detection and tracking of the pathogen behaviour of the imaged tissue. The human visual perception of the displayed image is limited by human visual system properties, display device characteristics and illumination environment influences during observation. In this review article we are analyzing how medical image specificities, human eye visual properties and display technology ultimate performances could be used to define medical image monitor technical requirements according to named application. We are focused on the analysis of the physical processes involved and technical aspects leading to optimization of the medical display requirements definition. This will help engineering and medical specialists to understand better medical display properties and provide more objective assessment of the display diagnostic suitability.


Author(s):  
Daniela Giordano ◽  
Carmelo Pino ◽  
Concetto Spampinato ◽  
Marco Fargetta ◽  
Angela Di Stefano
Keyword(s):  

Author(s):  
Chiranjeev Bhaya ◽  
Mohammad S. Obaidat ◽  
Arup Kumar Pal ◽  
SK Hafizul Islam
Keyword(s):  

1985 ◽  
Author(s):  
J.P. J. deValk ◽  
R. C. vanRijnsoever ◽  
A. R. Bakker

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