Detection and classification of brain tumor using hybrid deep learning models

IntroductionCancer is a medical condition characterized by the abnormal and uncontrolled growth of cells throughout the body. There are over 200 different types of cancer, such as lymphoma, blood cancer, breast cancer, skin cancer, and lung cancer. According to the World Health Organization (WHO), in 2018, approximately 9.6 million people worldwide lost their lives due to cancer1. Brain tumors are a prevalent and severe ailment, leading to reduced life expectancy in individuals of all age groups and genders. They are marked by the presence of an abnormal mass of brain cells, often arising from the sudden and irregular growth of brain tissues. The impact of brain tumors on an individual's life expectancy can be significant, dependent on factors like tumor type, size, location, and the availability of effective treatments. Effectively combating cancer hinges on being well-informed about risk factors and early detection methods2. Embracing a healthy lifestyle, undergoing regular medical c...