Medical Imaging Annotation Sets

[ OVERVIEW ]

Medical imagery annotated by clinical specialists across dermatology, radiology, and pathology. Every image is fully de-identified before annotation, with PHI removal verified by a second reviewer. Annotations include classification labels, lesion segmentation, keypoint markers, and structured findings where clinically relevant. Built for teams training diagnostic assistants, triage AI, and medical imaging research models. Exclusivity and data-use agreements scoped per buyer, per clinical domain.

[ KEY HIGHLIGHTS ]

• Clinical specialists annotate within their verified domain of practice
• Full de-identification with two-reviewer PHI verification
• Classification, segmentation, and keypoint annotations as the project requires
• Structured findings captured where clinically relevant
• Dermatoscopic, radiographic, and histopathology imaging supported
• Exclusivity and data-use terms scoped per buyer
• Licensed per domain (derm / radio / path) or across the clinical set

[ TECHNICAL SPECIFICATIONS ]

Files

DICOM or PNG/JPEG with de-identified metadata; resolution matched to diagnostic standard

Annotations

Classification · segmentation masks · keypoints · structured findings per schema

Schema

COCO JSON / custom DICOM SR / FHIR-aligned annotation schemas on request

Licensing

Commercial training rights · clinical data-use agreement required · per-domain or full-set licensing