Brain Tumour Detection Using Deep Learning Techniques

Brain tumours pose a significant health risk, and early detection plays a crucial role in improving patient outcomes. Deep learning techniques have emerged as a promising approach for automated brain tumor detection, leveraging the power of artificial intelligence to analyse medical images accurately and efficiently. This research study aims to explore the current state-of-the-art deep learning techniques for brain tumor detection, including Convolutional Neural Networks (CNNs) and their variants, and to evaluate their performance using various datasets. The results demonstrate the potential of deep learning in assisting radiologists and clinicians in accurately detecting brain tumours, leading to timely diagnoses and improved treatment planning.