Acceleration of Images via Software and Hardware using Proprietary Tools & Open Sources for Healthcare Industry
Author(s) -
G. Avinash Sharma,
Krishan Kumar
Publication year - 2017
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2017.07.02
Subject(s) - flexibility (engineering) , computer science , software , health care , open source , very large scale integration , embedded system , open standard , computer architecture , software engineering , operating system , interoperability , statistics , mathematics , economics , economic growth
Medical imaging appliances play a pivotal role in preventive medicine as the industry combat to low patient expense and acquire early disease estimation using nonintrusive methods. There are proprietary software packages which provide fast development for designing image processing algorithms. Another trend is to use open source softwares. With the advancement of VLSI (Very Large Scale Integration) technology, hardware implementation has also become an alternative. Proprietary hardwares provide flexibility, efficient power and timing constraints whereas open source hardwares provide optimum quality and cost constraints. The Present study is useful for image architects, researchers, biologists to learn various proprietary and open sources softwares as well as hardwares utilized for distinct applications of the healthcare industry.
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