Brain Tumor Classification Using CNN and MobileNetV2

In this video, I demonstrate how to classify brain tumors from MRI images using Convolutional Neural Networks (CNNs) and MobileNetV2. We use the Brain Tumor Classification (MRI) dataset from Kaggle to train a deep learning model that can accurately detect different types of brain tumors, including glioma, meningioma, pituitary tumors, and healthy brains. The video covers data preprocessing, building and training the CNN model, implementing MobileNetV2 for transfer learning, and evaluating the model’s performance. Whether you’re a beginner or looking to explore medical image classification, this tutorial shows step-by-step how AI can help in automating brain tumor detection. Kaggle Codes : https://www.kaggle.com/code/amineipad/braintumorclassifcationcnn https://www.kaggle.com/code/amineipad/braintumorclassificationmn