International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 138 - Number 13 |
Year of Publication: 2016 |
Authors: Jenish Gada, Akash Savla, Smit Chheda, Poonam Bhogale |
10.5120/ijca2016908975 |
Jenish Gada, Akash Savla, Smit Chheda, Poonam Bhogale . Brain Tumor Segmentation. International Journal of Computer Applications. 138, 13 ( March 2016), 6-8. DOI=10.5120/ijca2016908975
Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different characteristics and different treatment. As it is known, brain tumor is inherently serious and life threatening. Brain tumor analysis is done by doctors but its grading gives different conclusion which may vary from one doctor to another. However this method of detection resists the accurate determination of size of tumor. To avoid that, uses computer aided method for segmentation of brain tumor based on the combination of three algorithms. This algorithm allows the segmentation of tumor tissue with accuracy comparable to manual segmentation. It also reduces time analysis. At the end of the process the tumor is extracted for MR image and its exact position and its shape is also determined.