ResNet-50 Based Intelligent System For Brain Tumor Detection

5 Jun
Posted on Author

Authors: Dr. Nandini C, Prof. Mangala H S, Apoorva Patil, Athiya Syed, B Suhas, Harshitha J

 

Abstract: Detection of brain tumors via MRI scans is a healthcare imperative complicated by the enormous variation in the shapes and locations of the tumors. This project proposes the application of deep learning using the ResNet-50 convolutional neural network to automatically classify brain tumors from MRI scans. The system not only aims for high diagnostic accuracy but also incorporates Grad-CAM heatmaps to provide visual interpretation of the model’s predictions, enhancing transparency in clinical decision-making. Through extensive preprocessing, data augmentation during model training, and a user-friendly web interface, the system is designed to be both powerful and practical for real-world medical use.

DOI: 10.61463/ijset.vol.13.issue3.185