A Comparative study on Magnetic Resonance Image Processing for Brain Tumor Classification

Abstract

The abnormal growth of brain cells inside the brain is termed as a brain tumor.Detection of brain tumor is a very challenging task since there is similarity between the tumor cells and the normal tissues in the brain. In medical science Magnetic Resonance Imaging (MRI) can provide detailed analysis of the soft tissue anatomy that is very much helpful in the diagnosis of tumor cells. Several stages are involved in detecting the brain tumor tissues, namely: image preprocessing, segmentation, feature extraction and classification. In this paper, we have provided a review of image processing techniques in the context of brain MRI processing and critically analyzed them for the identification of the gaps so that the gaps can be filled for precise and better results.

Authors and Affiliations

Er. Neha Kapila, Dr. Gurmanik Kaur

Keywords

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  • EP ID EP388948
  • DOI 10.9790/1676-1304030711.
  • Views 96
  • Downloads 0

How To Cite

Er. Neha Kapila, Dr. Gurmanik Kaur (2018). A Comparative study on Magnetic Resonance Image Processing for Brain Tumor Classification. IOSR Journals (IOSR Journal of Electrical and Electronics Engineering), 13(4), 7-11. https://europub.co.uk/articles/-A-388948