Analyze DICOM images and measure regions of interest
Predict brain tumor type from MRI images
Segment 3D medical images with text and spatial prompts
Analyze OCT images to predict eye conditions
Classify lung cancer cases from images
Submit medical data to generate retinal case recommendations
Generate medical reports from patient data
Visualize and analyze radiation therapy data using AI models
Predict eye conditions from OCT images
Search and encode medical terms into MedDRA
Generate medical advice and treatment plans
Predict based upon the user data.
Saad Analyzer is a medical imaging tool designed to analyze DICOM images and measure regions of interest. It is tailored for healthcare professionals to enhance diagnostic accuracy and streamline image analysis workflows.
• DICOM Support: Compatible with standard DICOM formats for medical imaging. • Region of Interest (ROI) Measurement: Accurately measure and analyze specific areas within images. • 3D Reconstruction: Convert 2D DICOM slices into 3D models for better visualization. • Annotation Tools: Add notes, markers, and labels to images for detailed analysis. • Cross-Platform Compatibility: Available on multiple operating systems for flexible use. • Integration with Medical Systems: Compatible with PACS and other medical imaging systems. • Advanced Algorithms: Includes support for machine learning-based analysis.
What file formats does Saad Analyzer support?
Saad Analyzer supports DICOM (DCM) files, the standard format for medical imaging.
How do I measure regions of interest accurately?
Use the ROI tools provided in the software. Ensure the image is calibrated correctly before making measurements.
Can Saad Analyzer be used for other types of images?
No, Saad Analyzer is specifically designed for DICOM images and is not compatible with other formats like JPEG or PNG.