DICOM Image Annotation
For Radiologists and Medical AI Teams
JTheta.ai empowers healthcare AI professionals with a dedicated DICOM image annotation platform tailored to the complexity of medical imaging. Whether you’re building diagnostic models for tumor detection, segmentation tools for MRI/CT scans, or training radiology AI pipelines — our DICOM workflow simplifies the labeling process without compromising accuracy.
DICOM Viewer with Medical Precision
● Native DICOM file support
● Pixel-level annotation tools
● Frame-by-frame slice navigation (MRI, CT, PET)
AI-Assisted Labeling for Medical Imaging
● Pre-label anatomical structures using AI models
● Manual override and fine-tuning for precision
Medical Tools Built-In
● Grayscale control, zoom, contrast adjustment
● Multi-modal image stack support
● Metadata display for diagnostic context
Secure Collaboration for Medical Teams
● HIPAA-ready infrastructure
● Role-based access: Radiologist, Reviewer, Admin
● Annotate and review with full traceability
Interoperable Export Formats
● JSON, NRRD, NIfTI-compatible outputs
● Seamless model training handoff to AI pipelines
● Supports PACS and healthcare data storage systems
Use Cases for DICOM Annotation
Tumor boundary segmentation (lung, brain, liver)
Cardiac structure labeling for AI models
Neurology research using MRI segmentation
Chest X-ray classification training
Population health datasets for academic AI research
Healthtech startups building FDA-ready AI models
Who Should Use It?
Why Choose JTheta.ai for Medical Annotation?
- 100% cloud-based, no installation
- Scales with your diagnostic dataset needs
- Privacy-first, collaboration-ready
FAQs
→ Yes. You can upload and annotate multi-modal image stacks easily.
→ We are built with HIPAA and GDPR compliance readiness and will support enterprise-grade security features on request.
→ JSON, COCO, and DICOM-compatible metadata exports are supported.