Review of Tumor Detection in Brain MRI Images

  Deepika Joshi,  Rohit Goyal

Brain tumor is basically a malformed growth of the cells within brain that may be cancerous or non-cancerous. And as we know that the Brain tumor is one of the most life-threatening diseases and so its detection should be fast and accurate. This can be achieved by the execution of a automated tumor detection techniques on medical images. Many automated techniques which use image segmentation have been proposed. To learn about tumor detection in MRI Images, a review process involving 2 stage approaches has been undertaken for 30 research papers which were published in the period of year 2000 to year 2015. After an exhaustive review process, two key issues were found “Image Restoration, Enhancement of image” which have been resolved which is explained with proper methodologies. Several solution approaches have been found in the 30 papers. This paper provides the outcome of the review which is in the form of various findings, found under various key issues. The findings included algorithms and the methodologies used to solve particular research problem, along with their strengths, weaknesses and scope for the future work in the area.

Keywords- MRI , Segmentation,Enhancement, Restoration

Unique Identification Number - IJEDR1704197
Page Number(s) - 1211-1214
Pubished in - Volume 5 | Issue 4 | December 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Deepika Joshi,  Rohit Goyal,   "Review of Tumor Detection in Brain MRI Images", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1211-1214, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704197.pdf