Upload MRI to detect brain tumors
Predict diabetes, heart disease, and Parkinson's using ML models
Generate disease analysis from chest X-rays
Predict breast cancer from FNA images
Predict retinal disease from an image
Predict diabetes risk based on medical data
Consult medical information with a chatbot
Identify potential diseases from symptoms
Evaluate cancer risk based on cell measurements
Evaluate your diabetes risk with input data
Display prediction results for medical health status
Visualize and analyze radiation therapy data using AI models
Classify health symptoms to suggest possible diagnoses
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.
pip install flask).flask run and access it via the specified URL.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.