About this document
FinalArticle BrainTumor by Malik Moeez is a document available to read on EtoBox.
This document discusses the development of a deep learning-based system for automated brain tumor classification from MRI images using the ResNet50 architecture and transfer learning. The proposed system aims to achieve high classification accuracy across four tumor categories, demonstrating effective performance with reported accuracies of up to 99.7%. The methodology includes data preprocessing, model training, and evaluation, highlighting the importance of automated systems in improving diagnostic accura
- Author
- Malik Moeez
- Language
- EN