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A Review on Image Segmentation for Brain Tumor Detection
Published in
2018
Pages: 552 - 555
Abstract
A brain tumor is the gathering, or mass, of unusual cells in the cerebrum. The skull, which encases the mind, is extremely unbending. Any advancement inside such a confined space can cause issues. Experts refers a tumor based on where the tumor cells started and whether they are dangerous (malignant) or not (benign). Main aim of the image segmentation is to find the location and size of the tumor present in the brain. In this paper various types of segmentation algorithms are reviewed.
About the journal
JournalProceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology, ICECA 2018