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Brain Tumor Detection using CNN and ResNet-50

This project demonstrates an end-to-end deep learning approach for brain tumor detection using MRI images, leveraging Convolutional Neural Networks (CNN) and the powerful ResNet-50 architecture. The model is trained on a labeled brain MRI dataset to accurately classify images as tumor or non-tumor, showcasing the effectiveness of transfer learning and deep feature extraction in medical image analysis. Through preprocessing, model training, and evaluation, this work highlights how modern deep learning techniques can assist in early and reliable brain tumor diagnosis, supporting healthcare professionals with intelligent, automated decision-making tools. Kaggle Codes : https://www.kaggle.com/code/amineipad... https://www.kaggle.com/code/amineipad... Github Code : https://github.com/amnamine/BrainTumo...