X-ray Annotation Services for Chest, Skeletal, and Diagnostic Imaging AI

X-ray imaging is one of the most widely used diagnostic tools in healthcare, and accurate annotation is crucial for training AI systems that support radiology workflows. Chest X-rays, orthopedic studies, dental radiographs, and specialized scans all require consistent labeling that matches anatomical boundaries and diagnostic conventions.DataVLab provides X-ray annotation services designed for AI teams, radiology technology companies, and research groups building models for detection, classification, segmentation, and triage tasks. Annotators follow detailed labeling guidelines that define class rules, region boundaries, and handling of ambiguous or low contrast areas.We support chest, skeletal, spinal, abdominal, dental, and specialized X-ray datasets. Annotation tasks include region segmentation, bounding boxes, abnormality marking, bone outline labeling, lung zone segmentation, tool detection, and pathology region identification. We can annotate both 2D digital radiographs and multi view sequences when needed.Quality control involves multi stage review, cross checking between similar cases, and correction cycles that refine instruction sets as the dataset evolves. Sensitive medical datasets can be handled under GDPR aligned workflows with optional EU only annotation.Whether your X-ray dataset is intended for research or the development of clinical support tools, our structured annotation workflows deliver accuracy and consistency.