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A Method for Automatic Tumor Segmentation from Image of Brain
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 17 - Number 6 |
| Year of Publication: 2011 |
| Authors: Samir Kumar Bandyopadhyay |
10.5120/2224-2834
|
Samir Kumar Bandyopadhyay . A Method for Automatic Tumor Segmentation from Image of Brain. International Journal of Computer Applications. 17, 6 ( March 2011), 24-27. DOI=10.5120/2224-2834
Abstract
It is difficult to differentiate to between tumor and tissue in the brain when the border and cells overlapped between normal and abnormal tissues in gray level of the medical images. This is a real challenge of the surgeon or physician to distinguish it. When MRI and CT scan are taken for patient brain tumor there is an overlapping between the boundaries of tumor in the cerebellum part and tissue surrounded. If the surgeon has the accurate dimensions of the involved tissue he can do his job with more flexibility. When the image of MRI and CT scan were taken to a patient it is easy to distinguish image gray level overlapping between two or more different parts in the same image.
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