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Janardhana D R

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-7, pp.36-40, Jul 2017
DPI :-> 16.10046.IJCESR.2017.V4I7.3640.1841

Nowadays, a rapid growth in amount of medical image data in hi-tech hospitals on daily basis using state-of-the-art imaging tools like magnetic resonance imaging (MRI); computed tomography (CT); and nuclear medicine, including positron emission tomography (PET) is go on increasing. These image dataset enforces to adapt novel methods to process and to get scalable solution for allowing doctors to find diseases earlier and improve patient outcomes. Many State-of-the-art methods are presently working on a few set of images. This survey provides an in-sight of various parallel processing paradigms on large scale image dataset which addresses some of the important issues like fault tolerant, load balancing, portability. The survey also provides the comparison of the various parallel processing methods with respect to the issues they addressed.

Key-Words / Index Term
Keywords: Large-scale, Medical Imaging, Parallel Processing, MPI, OpenMP, GPGPU

How to cite this article
Janardhana D R , “A SURVEY ON LARGE SCALE MEDICAL IMAGE PROCESSING”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-7, pp.36-40, Jul 2017. DPI:16.10046.IJCESR.V4.I7.1841