Explore and analyze medical data through various tools
Predict sperm retrieval success rate
Generate spleen segmentation from medical images
Check medical images and conditions
Predict diabetes risk based on medical data
Predict heart disease risk using health data
Classify breast cancer abnormalities in images
Ask medical questions and get answers
Upload an X-ray to detect pneumonia
Generate detailed chest X-ray segmentations
Upload MRI to detect tumors and predict survival
Segment 3D medical images with text and spatial prompts
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.