A Review on Segmentation Approaches for Brain Tumor Detection

Authors

  • Daulat Kunwar Chauhan
  • Kalpana Jain

DOI:

https://doi.org/10.37591/rrjoesa.v9i1.818

Keywords:

Brain tumor, classification, detection, extraction, MRI, segmentation

Abstract

It is commonly said statement ‘the health is wealth’, so if you are healthy then everything is with you. Although everyone takes care of their health in their own ways but some diseases are not under the control of the human being.The “tumor” is one of the crucial diseases which is till now, out of control, in which brain tumor is again a serious issue. The most crucial job which is associated with a brain tumor is its detection or its detection system.The sphere of brain tumor assessment utilized the ideas of medical image processing with the support of activities like extraction, segmentation, and classification for proximate detection of tumors. Nowadays, research in this section puts attention towards MR about its non-invasive imaging properties.The role of computer-enabled diagnosis or detection schemes is also taken into the consideration to solve the problem which arises in course of variability in shapes, areas, and sizes of tumors. The present paper is an attempt to discuss contemporary approaches for solving the brain tumor problem. Also, diverse approaches to image segmentation are taken here with the current support of several researchers.

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Published

2021-06-24

Issue

Vol. 9 No. 1 (2021)

Section

Articles

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