Convex hull, Convex Deficiency, YCbCr color model, Image segmentation, Connected components

Abstract

The leading cause of death in the world is cancer which stands at the second number after cardiovascular diseases. Every 6th death happening in the world is due to cancer. Two types of cancer are Benign and Malignant Cancer. One of the malignant cancer is a brain tumor. Brain tumor can affect all age groups. There are many types of cancers based on the factors such as shape, texture, size, etc. The survival chances of a patient can be increased if the cancer is detected in an early stage. The detection of cancer is done by MRI scan that is Magnetic Resonance Imaging. It is unpainful and economical also. This method gives a clear picture of the brain in 2D or 3D format. This method is popular and precise to detect cancer. The use of Machine Learning and Deep Learning techniques can improve the accuracy of detecting cancer and hence save many lives of people. Different models like CNN, Alex Net etc. provide different accuracies and precision when used with different machine learning models such as SVM, k-NN etc.

Keywords: Machine Learning, CNN, Deep-Learning, Image processing, ,Brain tumor, MRI imaging, etc.