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Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.11, No. 12)

Publication Date:

Authors : ; ;

Page : 1741-1746

Keywords : Clustering; Edge; Histogram; Neural Network; Region; Segmentation.;

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Automatic brain tumor segmentation is the mechanism by which pathological tissues are distinguished from normal Tissues such as white, grey, and cerebrospinal (CSF) tissues. The segmentation method is still difficult because of the complexity of the tumor segmentation's form, location and size. Medical Imaging is one of the most imperative fields in Image Processing. Working on this field is an ambitious task as well as challenging. Tumor segmentation from a medical image is a tedious task. Over the decade's researchers went through considerable development to segment the tumor and developed various methods to articulate. Different strategies for segmentation, for example threshold based, area dependent, clustered, etc. have been applied for this purpose. In this paper, we present various image segmentation techniques, different types of existing algorithms based on some aspects of brain MRI images and at last there is a brief discussion of a few challenges along with future work.

Last modified: 2021-02-23 22:19:25