Pattern Detection Framework for MRI Images and Labeling Volume of Interest (VoI)

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 381)

Abstract

In the current scenario of Biomedical Research, the Magnetic Resonance Imaging (MRI) images visual analytics processing applications are facing challenges of the use of different techniques under different frameworks supported by different software tools. The establishment of different frameworks under different software tools and migration of data from one framework to another as well as one tool or environment to another poses critical difficulties and large time consumption. To reduce this hassle, the need of common framework is identified and the same is undertaken in this work. To address this issue, a framework MRI Image Pattern Detection Framework (MIPDF) is proposed to take care for the reduction of cited hassle and improved visual analytics to support medical professionals in their act of detection and diagnosis of diseases by identifying regularity and irregularity with improved visualization and analytics results.

Keywords

Biomedical research MRI Visual analytics MIPDF 

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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Shree Ramkrishna Institute of Computer Education & Applied SciencesSuratIndia
  2. 2.S.K. Patel Institute of Management & Computer StudiesGandhinagarIndia

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