International Conference on Advances in Computer Engineering and Applications |
Foundation of Computer Science USA |
ICACEA - Number 5 |
March 2014 |
Authors: Divya Kaushik, Utkarsha Singh, Paridhi Singhal, Vijai Singh |
b2c6624f-ae57-4510-a1dd-e02b4d2b72d0 |
Divya Kaushik, Utkarsha Singh, Paridhi Singhal, Vijai Singh . Brain Tumor Segmentation using Genetic Algorithm. International Conference on Advances in Computer Engineering and Applications. ICACEA, 5 (March 2014), 13-15.
Detection of brain tumour is very common fatality in current scenario of health care society. Image segmentation is used to extract the abnormal tumour portion in brain. Brain tumor is an abnormal mass of tissue in which cells grow and multiply uncontrollably, apparently unregulated by mechanisms that control cells. Several techniques have been developed for detection of tumor in brain. Our main concentration is on the techniques which use image segmentation to detect brain tumor. Tumor classification and segmentation from brain computed tomography image data is an important but time consuming task performed by medical experts.