Neural network with bee colony optimization for MRI brain cancer image classification

: Brain tumor is one of the foremost causes for the increase in mortality among children and adults. Computer visions are being used by doctors to analysis and diagnose the medical problems. Magnetic Resonance Imaging (MRI) is a medical imaging technique, which is used to visualize internal structures of MRI brain images for analyzing normal and abnormal prototypes of brain while diagnosing. It is a non-invasive method to take picture of brain and the surrounding images. Image processing techniques are used to extract meaningful information from medical images for the purpose of diagnosis and prognosis. Raw MRI brain images are not suitable for processing and analysis since noise and low contrast affect the quality of the MRI images. The classification of MRI brain images is emphasized in this paper for cancer diagnosis. It can consist of four steps: Pre-processing, identification of Region of Interest (ROI), feature extraction and classification. For improving quality of the image, pa...

• Type: Journal
• Year: 2016
• Where: IAJIT
• Authors: Sathya Subramaniam, Manavalan Radhakrishnan
• Keywords: Biometrics, IAJIT 2016