Explore and analyze medical data through various tools
Generate detailed chest X-ray segmentations
Predict based upon the user data.
Detect bone fractures from X-ray images
Analyze ECG data to determine relaxation state
Predict lung cancer level using health data
Upload an image and get a skin lesion prediction
Generate detailed medical advice from text input
Display prediction results for medical health status
Predict brain tumor type from MRI images
Answer medical questions using real-time AI
Segment medical images to identify gastrointestinal parts
Flamengo is a medical imaging application designed to help healthcare professionals explore and analyze medical data. It offers a suite of tools for visualizing and processing medical images, enabling users to gain deeper insights into patient datasets. Flamengo supports various medical imaging formats and provides advanced features for diagnostic and analytical purposes.
• Multi-modal imaging support: Compatible with MRI, CT, PET, and other medical imaging modalities.
• Advanced visualization tools: Includes 3D reconstruction, slice viewing, and volume rendering.
• ** Measurement and analysis tools**: Enables precise measurements, region-of-interest (ROI) analysis, and data quantification.
• DICOM compatibility: Supports the standard format for medical imaging data.
• Customizable workflows: Tailor the application to meet specific diagnostic needs.
• Cross-platform accessibility: Available on multiple operating systems.
• AI integration: Leverages artificial intelligence for enhanced image analysis and diagnostics.
What operating systems does Flamengo support?
Flamengo is available on Windows, macOS, and Linux platforms, ensuring broad accessibility.
Can Flamengo handle large datasets?
Yes, Flamengo is optimized to process large medical datasets efficiently, even those with high-resolution images.
Is Flamengo suitable for non-experts?
While Flamengo is designed for healthcare professionals, its intuitive interface makes it accessible to users with basic training in medical imaging.