
Enterprise-grade, highly scalable, and fully managed data annotation solution for Medical Imaging AI applications
Vendor
iMerit
Company Website


Source, annotate and validate to accelerate AI development
iMerit Radiology Annotation Product Suite unites our global expert workforce, secure data management, collaboration tools, and annotation automation on iMerit Ango Hub platform.
AI-assisted Annotation with iMerit Radiology Editor
iMerit Radiology Editor, powered by the Ango Hub Data Labeling platform, is purpose-built to support medical imaging annotation across diverse formats, including Nifti, NRRD, DICOM, TIFF, and MP4. This platform automates and accelerates manual annotation tasks with AI assistance while maintaining regulatory and security compliance. Extend capabilities of iMerit Radiology Editor with many plugins, webhooks, and other 3rd-party integrations.
Multiplanar Functionality
Navigate studies in their most true radiologic representation with segmentations natively reflected in all planes.
3D Views
The ability to toggle a 3D reconstruction of annotations allows for precision modeling of structures.
Model Integration
Use your own or off-the-shelf models to generate automated annotations in the tool or as a part of the workflow.
Custom Workflows
Configurable workflows and robust task management tools organize your data pipeline for scale, ensure quality, and allow collaboration with ease.
Level Tracing
Autoselect a group of voxels based on the Hounsfield units of the selected voxel with adjustable tolerance.
Magnetic Lasso
Achieve fast, pixel-perfect masks for an object or a region with context-aware and automation-assisted labeling.
Data Sourcing Across Modalities
Use your own data or access iMerit’s extensive network of healthcare facilities, research institutions, and healthcare data providers to source radiological imaging data across a range of modalities such as X-rays, CT Scans, Ultrasounds, and MRIs. Our data curation teams and experts work to support data needs, from training models to regulatory validation protocols.