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Challenges in Processing Medical Images in Mobile Devices
Mariela Curiel
,
Leonardo Flórez-Valencia
Virtualization and cloud computing technologies (VCLOUD)
Department of Systems Engineering
Bioengineering, signal analysis and image processing
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
1
Scopus citations
Overview
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Keyphrases
Adopted Technologies
25%
Android OS
25%
BOINC
25%
Computationally Intensive
25%
Device Characteristics
25%
Distributed Processing
25%
Execution Platform
25%
Health Professionals
25%
Lack of Response
25%
Lessons Learned
25%
Low Power Consumption
25%
Medical Image
100%
Mobile Devices
100%
Processing Image
25%
Smartphone
75%
Timely Responses
25%
Computer Science
Android
25%
Distributed Processing
25%
Execution Platform
25%
Health Professionals
25%
Intensive Application
25%
Low Power Consumption
25%
Medical Image Processing
100%
Mobile Device
100%
Substantial Amount
25%
Technical Issue
25%
INIS
applications
40%
devices
100%
images
100%
patients
20%
power
20%
processing
100%
resources
20%