Recent Advancements in the Automatic Detection and Segmentation of GBMs from Multimodal Brain MRI Images

International Journal of Computer Science and Engineering

© 2015 by SSRG - IJCSE Journal

Volume 2 Issue 10

Year of Publication : 2015

Authors : A. Ratna Raju, P.Suresh, R.Rajeswara Rao

10.14445/23488387/IJCSE-V2I10P103

How to Cite?

A. Ratna Raju, P.Suresh, R.Rajeswara Rao, "Recent Advancements in the Automatic Detection and Segmentation of GBMs from Multimodal Brain MRI Images," SSRG International Journal of Computer Science and Engineering , vol. 2,  no. 10, pp. 8-13, 2015. Crossref, https://doi.org/10.14445/23488387/IJCSE-V2I10P103

Abstract:

Segmentation of tumors from multimodal MRI images is a challenging and time consuming task done manually by radiologists. Automation of this task is challenging because of the high variance in appearance of glial cells, among different patients and, similarity between tumor and normal tissue. In this paper we present the results of our survey on recent progress in the segmentation of brain tumors from multimodal MRI images Multimodal Brain Tumor Segmentation

Keywords:

BRATs, Generative model, Discriminative model, SVMs.

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