Brain tumor segmentation consists of separating the different tumor tissues (solid or active tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM), and cerebrospinal ﬂuid(CSF). In brain tumor studies, the existence of abnormal tissues may be easily detectable most of the time. In the past, many researchers in the ﬁeld of medical imaging and soft computing have made signiﬁcant survey in the ﬁeld of brain tumor segmentation. Both semiautomatic and fully automatic methods have been proposed. Interactive or semiautomatic methods are likely to remain dominant in practice for some time, especially in these applications where erroneous interpretations are unacceptable. This article presents an overview of the most relevant brain tumor segmentation methods, conducted after the acquisition of the image. Given the advantages of magnetic resonance imaging over other diagnostic imaging, this survey is focused on MRI brain tumor segmentation. Semiautomatic and fully automatic techniques are emphasized.
Shruthi.C.G, Dasharath, Kiran Abhishek, Madhumala.K.M, R.Gunasekari
Brain Tumor, Tumor Tissues, White Matter, Gray Matter, Cerebrospinal ?uid, MRI
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|Published in :
||Volume 2 | Issue 2 | March-April - 2016
|Date of Publication
Cite This Article
Shruthi.C.G, Dasharath, Kiran Abhishek, Madhumala.K.M, R.Gunasekari, "BTS Identification Technique", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.930-933, March-April-2016.
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