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500K+
Med Images Annotated
99.2%
Accuracy in Labeling
30+
Healthcare AI Clients
40%
Faster Turnaround
100%
HIPAA Compliance
Achievments
AI models built for radiology, oncology, neurology, cardiology, and pathology require perfectly segmented, expertly labeled imaging datasets to detect disease, measure progression, and support clinical decision-making.
At Anotag, our medically trained annotators specialize in pixel-level precision for complex anatomical structures, lesions, tumors, organs, vessels, and abnormalities.
We work with hospitals, MedTech companies, CROs, and imaging AI startups to transform raw medical scans into structured, regulatory-compliant training data ready for clinical-grade AI.
ABOUT
DICOM and NIfTI imaging form the backbone of modern medical diagnostics including MRI, CT, PET, X-ray, and ultrasound.
Things We Do
We provide high-accuracy, domain-trained medical image annotation across all major modalities and clinical workflows.
01
Organ & Structure Segmentation
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We segment organs, tissues, and anatomical regions across MRI, CT, PET, and ultrasound scans — ensuring pixel-level clinical accuracy.
02
Lesion, Tumor & Abnormality Annotation
We identify, outline, and classify tumors, nodules, hemorrhages, blockages, and abnormalities essential for diagnostic decision-making.
03
Slice-by-Slice DICOM Labeling
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We annotate axial, coronal, and sagittal slices sequentially for volumetric analysis and high-precision radiology model training.
04
ROI Identification & Measurement
We mark clinically relevant regions and provide length, area, and density measurements to support radiologists and AI benchmarking.
05
Multi-Class Medical Classification
We categorize scans by disease type, severity, progression, and radiological patterns to enhance diagnostic model performance.
06
3D Volume Reconstruction & Annotation
We annotate 3D voxel data, enabling volumetric modeling, tumor mapping, and advanced spatial analysis across imaging studies.
07
Metadata Cleaning & Structuring
We validate and structure DICOM metadata—tags, series info, and patient details—to ensure clean, compliant, AI-ready datasets.
08
Custom Clinical Labeling Protocols
We design workflows tailored to oncology, neurology, cardiology, orthopedics, ophthalmology, and specific medical needs.
OUR PROCESS
Protocol Alignment
We review your imaging modality, labeling schema, clinical objectives, and regulatory requirements.
Guidelines & Workflow Setup
Expert Medical Annotation
Certified annotators and medically trained specialists annotate each slice, region, and class with precision.
Multi-Layer Quality Review
Includes cross-specialist review, pathology checks, anomaly validation, and gold-standard sampling to ensure >99% accuracy.
Secure Delivery & Integration
Delivered in DICOM, NIfTI, NRRD, PNG/JPG exports, JSON overlays, or integrated directly into your clinical AI pipeline.
Iteration & Clinical Refinement
We adjust segmentation rules, severity classes, and region boundaries based on radiologist or client feedback.
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Industries We Serve
Our DICOM & NIfTI expertise supports diverse applications across healthcare and adjacent industries
01
Hospitals & Healthcare
Systems
We support clinical imaging workflows with precise annotations for diagnostics, triage models, and radiology AI.
02
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Medical Imaging AI Companies
We annotate large MRI, CT, PET, and X-ray datasets powering next-generation medical diagnostics systems.
03
Radiology Groups & Imaging Centers
We provide structured slice-by-slice annotations used for training, validation, and internal clinical research.
04
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Pharma & Biotech
We annotate imaging biomarkers for drug trials, treatment response tracking, and disease progression studies.
05
Medical Device Manufacturers
We label scans for machine calibration, imaging hardware validation, and embedded diagnostic algorithms.
06
Research Universities & Labs
We assist AI research teams with structured, high-quality imaging datasets for medical innovation.
07
Telemedicine & Teleradiology Firms
We help automate workflows through labeled imaging data that improves turnaround and diagnostic support.
08
CROs & Clinical Trial Organizations
We annotate multi-center imaging datasets enabling regulator-ready submissions and clinical trial endpoints.
09
Neurology & Brain Imaging Centers
We support neurological imaging with detailed annotations for stroke, epilepsy, dementia, and brain pathology.
10
Oncology Centers
We segment tumors, lesions, and progression markers for cancer diagnostics, research, and clinical decision support.
11
Orthopedic & Musculoskeletal Imaging
We annotate bone fractures, joint structures, and musculoskeletal regions for surgical planning and AI modeling.
The Anotag Advantage
Clinical precision, strict compliance, and medically trained experts for healthcare AI.
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Medically trained annotation teams
Experts in radiology patterns, anatomical structures, pathology markers, and clinical workflows.
Precision built for diagnostics
High-accuracy segmentation and labeling that supports safe, reliable diagnostic AI systems.
Compliant with global medical standards
HIPAA, GDPR, ISO 27001, SOC 2, and hospital-grade confidentiality.
Scalable for large imaging datasets
From hundreds of studies to millions of slices — we scale without losing accuracy.
Cross-modality expertise
MRI, CT, PET, ultrasound, X-ray, histopathology, and 3D volumetric imaging supported.
Seamless PACS & AI pipeline integration
Delivered in formats ready for research, clinical trials, or production-grade hospital systems.
How We Ensure Quality
Multi-Specialist Review
Annotations are validated by multiple healthcare-trained specialists to ensure clinical consistency and accuracy.
Gold-Standard Benchmarking
Randomized sampling, comparison studies, and expert validation maintain stable, high-quality medical annotations.
Automated Consistency Checks
AI-assisted tools detect slice mismatches, boundary drift, and segmentation irregularities across large datasets.
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Clinical Error Analysis
We identify mislabels, missing structures, and ambiguous regions to ensure medical reliability and diagnostic value.
Continuous Feedback Integration
Guidelines evolve with your radiology team’s input, improving precision with every iteration and updated dataset.
Security, Integration & Delivery
We handle every medical dataset with clinical-grade confidentiality.
Encrypted & Access-Controlled
AES-256 encryption and restricted workspaces ensure only authorized medical teams handle imaging datasets.
ISO 27001 Aligned
International-grade security protocols safeguard medical images, metadata, and sensitive patient information.
HIPAA & GDPR Compliant
All PHI is protected with strict privacy controls aligned with global healthcare regulations.
SOC 2 Ready Infrastructure
Audit-ready systems designed for hospitals, MedTech companies, and regulated clinical research environments.
Build Clinical-Grade Imaging AI with Anotag
Accelerate your diagnostic models with perfectly annotated DICOM & NIfTI datasets crafted by medical experts.
Partner with Anotag to ensure accuracy, compliance, and quality at every stage
of your medical imaging pipeline.