MEDICAL IMAGING FOR THE SEGMENTATION OF ABDOMINAL ORGANS USING PARALLELIZATION AND ORIENTED ACTIVE APPEARANCE MODELS 

Abstract

mage segmentation plays an important role in medical imaging.Still; several challenges have to be recovered. The major issue deals with segmentation time concerned with each organ. More than five minutes is needed for segmenting each organ while considering multi organ segmentation. The proposed method can be used to segment multiple organs within a less time. The parallelization method can be used to segment the abdominal organs, especially the liver, the kidneys and the spleen .A novel adaptive approach is being used to parallelize, known as the parallel OAAM approach. Here a fast uniform partition is used to partition the graph into a number of regularly-shaped disjoint sub graphs by randomly adding weights and processing them in parallel, and then incrementally merge the sub graphs in an adaptive way to obtain the global optimum. The approach takes only about 53.3% of the time consumed by the sequential OAAM approach 

Authors and Affiliations

Brahmya Joseph , P. Madhavan

Keywords

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  • EP ID EP141330
  • DOI -
  • Views 60
  • Downloads 0

How To Cite

Brahmya Joseph, P. Madhavan (2013). MEDICAL IMAGING FOR THE SEGMENTATION OF ABDOMINAL ORGANS USING PARALLELIZATION AND ORIENTED ACTIVE APPEARANCE MODELS . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(2), 471-476. https://europub.co.uk/articles/-A-141330