Boost the efficiency of your AI projects in healthcare by outsourcing medical annotation services to our specialized team. Streamline your workflow, improve accuracy, and accelerate the development of innovative solutions for medical image analysis.
Unlock the potential of AI in medical imaging with our expert Research Consultant. Elevate your healthcare solutions by harnessing cutting-edge artificial intelligence technologies for enhanced diagnostics and patient care.
Empower your AI algorithms with comprehensive training datasets for both public and hospital-owned environments. Our curated datasets ensure optimal learning, enabling your AI models to deliver robust performance in diverse healthcare settings.
Optimize your medical imaging projects with
our seamless outsourcing services, offering expert annotation solutions
and dedicated research consultancy for accelerated innovation in healthcare
CT annotation services for production-ready AI: organ and lesion segmentation, vessel labeling, and study-level classification tailored to your protocol.
We deliver clean masks/labels with QA reports and consistent conventions across multi-center datasets.
MRI annotation for high-variance sequences: anatomy segmentation, pathology marking, and sequence-aware labels for robust model training.
Our workflow supports multi-sequence studies and longitudinal scans with consistent QA and versioned guidelines.
X-ray labeling built for detection and triage models: findings classification, bounding boxes, and structured labels aligned to your use case.
Fast turnaround with calibrated QA for large-scale datasets and repeated refresh cycles.
Mammography annotation for screening and decision-support AI: mass/lesion contours, BI-RADS aligned labels, and study-level outcomes.
We standardize markings across views to improve model consistency and clinical interpretability.
Digital pathology annotation for WSI pipelines: ROI selection, cell/tissue labeling, and tumor margin delineation optimized for weak/strong supervision.
We support scalable workflows with clear ontologies and audit-ready QA.
Other modalities on demand: endoscopy, dental imaging, ultrasound, PET/SPECT, lab microscopy, and custom clinical media.
Tell us your target task and output format—MedBelAi will design the labeling spec, toolchain, and QA plan.
We draw bounding boxes around findings/structures to train fast detection and triage AI (e.g., nodule, fracture, pneumothorax).
We contour precise boundaries on 2D slices to train pixel-accurate segmentation AI for small or complex lesions and anatomy.
We label and localize abnormalities to train classification + detection AI, supporting triage, prioritization, and reporting workflows.
We segment organs and pathologies in full 3D volumes to train volumetric AI models for measurement, planning, and quantitative imaging.
We separate and label each individual object instance to train instance segmentation AI (e.g., multiple nodules, polyps, cells) with count-level accuracy.
We detect and annotate abnormalities end-to-end to train production-grade AI for screening, triage, and clinical decision support.
We align annotation outputs to the exact task your model must solve—so your team can train, validate, and iterate with confidence.
Enterprise-friendly exports that plug into your pipelines, with versioned guidelines and auditable QA artifacts.
We collaborate with research teams to turn annotation and model results into publishable outcomes and credible market signals.
MedBelAi supports foundation-model development by delivering large-scale, high-consistency medical datasets tailored for pretraining and fine-tuning.
We support your path from dataset to deployment—aligned with clinical workflows, governance, and audit expectations.
MedBelAi can collaborate with your engineering and clinical teams to reduce integration friction and accelerate time-to-value.
Ready to build a reliable annotation pipeline for medical AI? Let’s scope your project and deliver a QA-backed pilot.
Talk to MedBelAi