Deep learning based brain tumor detection

The project involves designing and implementing a deep learning-based brain tumor detection system using MRI images. The goal is to determine whether a person has a brain tumor by analyzing their brain MRI image. This system is crucial for the early detection of brain tumors, which is difficult for doctors to achieve manually. Here's a summarized breakdown of your project:

• Objective: Create a deep learning-based system for brain tumor detection using MRI images to detect brain tumors at an early stage.
• Technology Stack:
  • Frameworks: TensorFlow and AutoKeras for model development.
  • Libraries: OpenCV for image processing.
  • Web Framework: Flask for building the deployment application.
• Data:
  • Dataset: 3000 MRI images, split equally between tumor-containing and tumor-free images.
• Model Development:
  • Architecture: AutoKeras helps determine optimal model parameters using AutoML.
  • Training: Train the model on the provided dataset to predict the presence of a brain tumor.
• Deployment:
  • Flask Application: Create a user-friendly web application for model deployment.
  • Model Loading: Load the trained model into memory at application startup.
• User Interaction:
  • Web Interface: Users access the application via a browser.
  • Image Upload: Users can upload their brain MRI images for analysis.
• Prediction and Visualization:
  • Image Processing: Uploaded images are resized using OpenCV to match model input dimensions.
  • Prediction: The loaded model processes the image and predicts tumor presence with associated probabilities.
  • Result Display: The application's result page shows the user's uploaded image, predicted label (tumorous or non-tumorous), and the associated probability.
• Tumor Detection Outcome:
  • Early Detection: The system's early detection capability helps address the challenge of identifying brain tumors in their early stages.
• Additional Feature:
  • Healthcare Center Recommendations: If the image is predicted as tumorous, the application provides a list of top US healthcare centers for brain diagnosis.

Overall, project leverages deep learning, automated model architecture search, and web application development to create a powerful tool for early brain tumor detection using MRI images. The integrated system offers both accurate predictions and practical support for users seeking medical assistance.

Project Comes with Report,code,webapp,and ppt