An Improved Detection of Tumors and Edemas in Brain using Enhanced Learning Process Algorithm

Abstract

In medical image processing brain tumor segmentation plays the major task. It is very important to identify the brain tumors edemas in the early stages. The other name for brain swelling is cerebral edema. It's very serious issues and this may causes death because it develops the fluid in the brain. This will amplify the pressure within the skull and this is also referred as intracranial pressure (ICP). Various manual automated processing techniques are using to detect the tumors and edemas in the brain. Still there is a lack of accurate results and more time to detect the exact place of the tumor or edema. In this paper, an Improved Detection of Tumors and Edemas in Brain using Enhanced Learning Process Algorithm (ELPA) is introduced. To amplify the performance of this ELPA, adopted the edge detection approach to find the edges of the affected area. Results show the performance of the ELPA and other manual and automated processes.