PlumX Metrics
Embed PlumX Metrics

Visual MRI : Merging information visualization and non-parametric clustering techniques for MRI dataset analysis

Artificial Intelligence in Medicine, ISSN: 0933-3657, Vol: 44, Issue: 3, Page: 183-199
2008
  • 8
    Citations
  • 0
    Usage
  • 47
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Article Description

This paper presents Visual MRI, an innovative tool for the magnetic resonance imaging (MRI) analysis of tumoral tissues. The main goal of the analysis is to separate each magnetic resonance image in meaningful clusters, highlighting zones which are more probably related with the cancer evolution. Such non-invasive analysis serves to address novel cancer treatments, resulting in a less destabilizing and more effective type of therapy than the chemotherapy-based ones. The advancements brought by Visual MRI are two: first, it is an integration of effective information visualization (IV) techniques into a clustering framework, which separates each MRI image in a set of informative clusters; the second improvement relies in the clustering framework itself, which is derived from a recently re-discovered non-parametric grouping strategy, i.e., the mean shift.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know