Brain Tumor Analysis📈

A deep learning-based project to detect the presence of a Brain Tumor in MRI images using TensorFlow and data science libraries.

📌Features

• Uses Convolutional Neural Networks (CNNs) for tumor classification
• Processes and visualizes MRI scanned images
• Utilizes TensorFlow, NumPy, Pandas, OpenCV, and Matplotlib
• Successfully detects tumor and non-tumor

🛠️Technologies Used

• Python
• TensorFlow
• NumPy
• Pandas
• OpenCV
• Matplotlib

📂Notebook and Dataset

Link of the dataset used for Training the model: Dataset

Open the notebook: Brain Tumor Analysis Notebook

📊 Model Training & Evaluation

• Utilizes CNNs for image classification
• Achieves 75%-85% accuracy
• Evaluated using metrics like accuracy, precision and recall

🧠 Sample Prediction

☑️Result

• The model correctly identified MRI scans with and without tumors.
• Successfully tested on brain MRI images with accurate classification.

License

This project is licensed under the MIT License.