A Local Linear Wavelet Artificial Neural Network-based Automated Tumor Detection System with Hybrid Optimization

The Human Brain, which contains billions of neurons and regulates the Central Nervous System, is the most intricate and convoluted organ. The Human Brain contains neuron and non-neuron cells, aberrant and uncontrolled proliferation of these cells implies tumours. To get images of the human brain for the radiologist’s study and classification of the tumour that is present, magnetic resonance imaging (MRI) is used. The detection of the Tumors in brain by the radiologist with MR Imaging is careful and time consuming process. For the purpose of performing tumour removal operations, an Artificial Neural Network makes it easier to automatically detect, segment, classify, and extract the tumour region. In this study, we proposed a Local Linear Wavelet Artificial Neural Network-based Automated Tumor Detection System with Hybrid Optimization, which can automatically detect human brain tumours using ANN. It consists of an MRI dataset, preprocessing, segmentation, Box bounding, GLCM-LBP feature extraction, Hybrid firefly optimization, Local