Advancements in AI for Brain Tumor Detection and Classification

Abstract

Abstract: This research paper explores the development of artificial intelligence (AI) in brain tumor detection and classification from 2010 to the present. It examines the significance of brain tumors, the role of MRI in their analysis, and the motivation behind utilizing AI in this context. The objectives and methodology of the research are outlined. The paper discusses various AI techniques, such as machine learning and deep learning, as well as supervised, unsupervised, and semi-supervised learning approaches. The importance of feature extraction and selection is highlighted, and a comparison is made between traditional methods and AI-based approaches. The evolution of AI techniques in brain tumor detection and classification is examined, including notable research papers and their contributions. The impact of AI algorithms on accuracy, efficiency, and clinical applications is analyzed. The paper concludes with a discussion of challenges, future directions, and the potential integration of emerging technologies.