Segment 3D medical images with text and spatial prompts
Analyze OCT images to predict eye conditions
Evaluate your diabetes risk with input data
Submit brain MRI to detect tumors
Classify chest X-rays to detect diseases
Identify potential diseases from symptoms
Predict eye conditions from OCT images
Evaluate heart disease risk based on personal data
Segment medical images to identify gastrointestinal parts
Display prediction results for medical health status
Analyze retinal images to determine diabetic retinopathy severity
Upload EEG data to classify signals as Normal or Abnormal
Detect bone fractures from X-ray images
SegVol is a cutting-edge AI tool designed specifically for 3D medical image segmentation. It leverages advanced AI technology to enable precise and efficient segmentation of medical images using text and spatial prompts. SegVol is tailored for healthcare professionals and researchers, helping them streamline workflows and improve accuracy in medical imaging analysis.
• Dual-Prompt System: Utilize both text and spatial prompts for precise segmentation.
• 3D Image Support: Designed to handle complex 3D medical imaging data.
• Multiple Image Types: Compatible with MRI, CT, and other medical imaging modalities.
• Real-Time Generation: Fast processing for time-sensitive applications.
• Intuitive Interface: User-friendly design for easy navigation and workflow optimization.
1. What types of medical images does SegVol support?
SegVol supports a wide range of medical imaging modalities, including MRI, CT, PET, and ultrasound.
2. Do I need extensive AI knowledge to use SegVol?
No, SegVol is designed to be user-friendly. Even users without deep AI expertise can utilize its intuitive interface and prompts effectively.
3. Can I refine the segmentation results if they are not accurate?
Yes, SegVol allows users to refine segmentation results by adjusting prompts or using spatial cues to improve accuracy.