hiimani28 / cnn_braintumor

Neural Network Tumor Detection

This repository contains a machine learning project aimed at detecting tumors from medical imaging using convolutional neural networks (CNN). The project uses Python and TensorFlow to train a CNN on a dataset of MRI scans to automatically identify and classify potential tumors.

Model Architecture

The model utilizes a Convolutional Neural Network (CNN) that includes:

• Convolutional layers to capture spatial features from the MRI scans.
• Pooling layers to reduce dimensionality and computation.
• Dense layers for classification output.
• Activation functions such as ReLU and a softmax layer for binary classification (tumor or no tumor).

Technologies Used

• Python 3.8
• TensorFlow 2.4
• Keras
• NumPy
• Matplotlib

Results

The trained model achieved an accuracy of 87% on the test dataset.