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Flask is a micro web framework written in Python. It is lightweight, flexible, and ideal for building web applications and APIs. Flask is often used for developing small-scale applications and is well-suited for prototyping or building RESTful APIs. In the context of medical imaging, Flask can be used to create web services for processing and analyzing medical data, such as detecting tumors in brain MRI scans.
• Microframework: Flask is designed to be lightweight and does not include many features out of the box, making it easy to extend and customize.
• Modular: Flask supports extensions and can be easily integrated with third-party libraries.
• Flexible: It allows developers to build applications using their preferred tools and databases.
• No ORM by Default: Unlike Django, Flask does not include an Object-Relational Mapping (ORM) tool by default, giving developers the freedom to choose their own.
• Built-in Support for RESTful APIs: Flask makes it easy to build APIs with support for JSON data formats.
• Debugging Tools: Flask includes a built-in debugger for easier development and troubleshooting.
• Lightweight: Flask has a smaller codebase compared to other frameworks like Django, making it easier to learn and use.
pip install flask
.from flask import Flask
app = Flask(__name__)
@app.route('/')
def home():
return "Welcome to Flask!"
app.run()
to start the development server.http://localhost:5000
.What is Flask?
Flask is a lightweight Python web framework used for building web applications and APIs.
Is Flask suitable for medical imaging applications?
Yes, Flask can be used to create web services for medical imaging tasks, such as tumor detection in MRI scans.
How do I handle MRI data in Flask?
You can create API endpoints to accept MRI data, process it using machine learning models, and return the results as JSON responses.