Brain Tumor Segmentation of T1w MRI Images Based on Clustering Using Dimensionality Reduction Random Projection Technique.

Journal: Current medical imaging
Published Date:

Abstract

BACKGROUND: Early diagnosis of a brain tumor may increase life expectancy. Magnetic resonance imaging (MRI) accompanied by several segmentation algorithms is preferred as a reliable method for assessment. The availability of high-dimensional medical image data during diagnosis places a heavy computational burden and a suitable pre-processing step is required for lower- dimensional representation. The storage requirement and complexity of image data are also a concern. To address this concern, the random projection technique (RPT) is widely used as a multivariate approach for data reduction.

Authors

  • K Rajesh Babu
    Department of Electronics and Communication Engineering, Faculty of KL University, Guntur, India.
  • P V Nagajaneyulu
    Sri Mittapalli College of Engineering, Guntur, India.
  • K Satya Prasad
    Vignan's Foundation for Science, Technology and Research University, Guntur -Tenali Road, Vadlamudi, AP, India.