Brain Tumor Segmentation Using Neural Networks convolutional (CNN)

Abstract

This thesis explores the diagnosis and treatment of brain tumors through advanced imaging techniques and deep learning algorithms. Brain cancer, a severe condition affecting the central nervous system, requires precise diagnostic methods for effective treatment. This work focuses on the segmentation of brain tumors from MRI images using state-of-the-art deep learning models. The proposed method integrates pre-trained convolutional neural networks, improving segmentation accuracy and robustness. Our results demonstrate significant advancements in the accuracy and efficiency of brain tumor diagnosis and provide a foundation for future research in this critical medical field.