Advanced Deep Learning for Accurate Detection and Localization of Brain Tumors using MRI

Detection and Localization of Brain Tumors Using Deep Learning" aims to develop an advanced deep learning algorithm for the accurate detection and localization of brain tumors using MRI scans. Using ResNet50 for tumor classification and ResUNet for classification, the algorithm is designed to accurately detect and pinpoint tumors in the brain Low-grade Glioma (LGG) dataset forms the basis for training, validation, and evaluation of the model. The results of this work are expected to significantly improve the accuracy and speed of brain tumor diagnosis and treatment planning. This research represents a significant contribution to the application of medical imaging and deep learning in healthcare, addressing the urgent need for rapid and accurate detection and localization of brain tumors. By increasing the accuracy and efficiency of research, this work has the potential to improve patient outcomes and transform the current research paradigm in neuron-oncology.