Brain Tumor Detection Using Fish Schooling Genetic Algorithm

Accumulation of anomalous tissue in the head formed the Brain Tumor. Brain tumor is basically caused by the uncommon growth of the anomalous cells in the brain. Since the skull encloses the very rigid brain. Any unspecified growth inside the restricted space where the cells multiply abruptly and ceaselessly can create the major problem. After the 20th century, the number of the patient who have the brain tumor is increasing day by day for the aging population is a worldwide health problem. Basically Malformed mass called tumor can be identified into two types cancerous (malignant) or noncancerous (benign). The main objective of this research is to create the technique that reliably identifies the existence of a tumor that includes all cancerous tissues. Fish schooling Genetic algorithm is used to recognize a presence of cancerous part called tumor area from a soft tissue called brain MRI images and to predict that detected area whether it is a tumor or not. The proposed module consists of the steps such as Brain MRI dataset Pre-processing of MRI image, remove noise through image Enhancement, stripping the skull part, fish school search algorithm based indication are used in the research. According to the results acquire from the performance of Fish School Search Algorithm in detection of tumor achieves the better performance in terms of comparing the quality parameters such as accuracy, efficiency with the previous method used.