Flask

What is Flask ?

Flask is a lightweight web framework designed for building web applications. It is flexible and modular, making it ideal for both small and large-scale projects. In the context of medical imaging, Flask can be utilized to create powerful applications like MRI tumor detection systems, enabling users to upload MRI scans and receive AI-driven diagnostics.

Features

• Lightweight and Modular: Flask has a small codebase and can be extended with various libraries and extensions.
• Flexible Routing: Supports dynamic URLs and multiple routing options for handling different requests.
• API Integration: Easily integrates with external services and APIs for enhanced functionality.
• Template Engine: Comes with Jinja2 templating support for building dynamic web pages.
• Debugging Tools: Built-in debugger for easy troubleshooting and development.

How to use Flask ?

1. Install Flask: Use pip to install the Flask package (pip install flask).
2. Create a Basic Application: Write a simple Flask app to handle requests and responses.
3. Define Routes: Use decorators to define URL routes and their corresponding functions.
4. Run the Application: Execute the app using flask run and access it via the specified URL.
5. Upload MRI Images: Integrate file upload functionality to handle MRI scans.
6. Analyze Images: Implement AI models to detect brain tumors from uploaded MRI images.
7. Display Results: Render the analysis results in a user-friendly format.

Frequently Asked Questions

What file formats does Flask support for MRI uploads?
Flask can support various medical imaging formats such as DICOM, NIfTI, and TIFF. Ensure the correct libraries are installed for handling these file types.

How accurate is the brain tumor detection?
The accuracy depends on the quality of the MRI scan and the AI model's training data. While Flask provides a robust framework, the detection accuracy is determined by the implemented algorithm.

Can Flask be used for other medical imaging tasks?
Yes, Flask is versatile and can be adapted for various medical imaging tasks, including diagnostic tools, image processing, and data visualization, beyond just brain tumor detection.