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Advances in Brain Tumor Prediction and Classification Using Convolutional Neural Networks
Author Name : Mayank Kumar, Pratiksha Kautarya, Garima Pandey
ABSTRACT Brain tumors are a significant health concern, re- quiring accurate and timely diagnosis for effective treatment planning. Recent advancements in medical imaging and artificial intelligence have paved the way for more precise and efficient diagnosis methods. This research paper explores the application of Convolutional Neural Networks (CNNs) in the prediction and classification of brain tumors. We discuss the challenges associated with brain tumor diagnosis, the significance of CNNs in medical imaging, and present a comprehensive review of recent studies and techniques employed in this domain. Furthermore, we propose a novel CNN architecture tailored for brain tumor detection, leveraging the latest developments in deep learning.