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Machine learning approach for brain tumor detection

  • Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Scopus citations

Abstract

Medical diagnosis via image processing and machine learning is considered one of the most important issues of artificial intelligence systems. In this paper, we present a machine learning approach to detect whether an MRI image of a brain contains a tumor or not. The results show that such an approach is very promising.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information and Communication Systems, ICICS '12
DOIs
StatePublished - 2012
Externally publishedYes
Event3rd International Conference on Information and Communication Systems, ICICS '12 - Irbid, Jordan
Duration: 3 Apr 20125 Apr 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Information and Communication Systems, ICICS '12
Country/TerritoryJordan
CityIrbid
Period3/04/125/04/12

Keywords

  • NN classifier
  • brain MRI images
  • decision tree classifier
  • feature extraction
  • image processing

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