• Dr. Santosh Kumar Singh

Medical image segmentation is the essential need for preplanning of surgical treatments that may assist the pathologists to complete effective surgical operations upon that human brain. In modern scenario brain tumor surgical procedures are advanced in the manual method on hospitals that consumes extra time. Manual brain tumor segmentation is laborious and much relies on the particular operator that may not really an advisable one. The research on brain tumor segmentation comprises of numerous articles relevant to tumor identification. There are number of techniques previously given for segmentation of brain tumor effectively. However it’s still essential to detect the brain tumor using MR pictures. The segmentation procedure involves extraction of various tumor tissues including active, tumor, necrosis, and edema first from normal brain tissues. This research is a comprehensive review to evaluate the current five publications related to human brain tumor segmentation. This article examines them invariant possible methods to assist green researchers to choose their research topic.

Brain Tumor, Diagnosis, Deep Learning, Magnetic Resonance Image, Segmentation.

"An Analysis on Brain Tumor Segmentation Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.80-84, March-2019, Available :http://www.jetir.org/papers/JETIRFT06017.pdf

"An Analysis on Brain Tumor Segmentation Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp80-84, March-2019, Available at : http://www.jetir.org/papers/JETIRFT06017.pdf