Medical Image Annotations
Histopathological Annotations
Radiology Annotation Services
Digital Pathology Imaging
What Is Medical Data Annotation?
Medical data annotation is the process of labeling and tagging medical data such as X-rays, CT scans, histopath slides, and surgical videos to train AI algorithms for diagnosis, detection, and clinical support.
Why Choose Med Annotate?
Our Core Services
Our medical annotation team provides highly accurate dental and dermatology image labeling to support AI-powered diagnostics, smile design systems, and skin analysis tools.
We work on OPG, CBCT, intraoral, and clinical skin images, ensuring medical precision across both oral and dermatologic datasets. We provide:
- Texture and color pattern tagging for deep learning models
- Tooth and root segmentation for dental structure mapping
- Cavity detection and orthodontic landmarking for treatment planning
- Nerve canal identification and jaw anatomy labeling
- Lesion boundary and shape annotation for skin image analysis
- Pigmentation, acne, and scar classification for AI aesthetic tools
- Melanoma and benign lesion segmentation
We annotate surgical and endoscopic videos frame-by-frame, focusing on:
- Instrument and tool tracking
- Tissue and organ interaction tagging
- Surgical step or phase identification
- Event detection : bleeding, incision, suturing, or lesion exposure
Temporal labeling and motion tracking support AI model learning for real-time surgery assistance.
✅ Ideal for: Robotic surgery AI, operative video training datasets, and medical device innovation
Annotation types include: Segmentation, Bounding Boxes, Landmark Detection, and Classification.
We annotate key diagnostic areas:
- Fracture detection in X-rays
- Lesion and tumor segmentation in CT and MRI scans
- Organ and boundary mapping for accurate measurement
- Anomaly labeling for ultrasound imaging
Supports AI model training for radiology automation, clinical decision support, and disease classification.
Our pathologists and biomedical annotators handle whole slide images (WSI) at the cellular and subcellular level.
We provide:
- Tumor vs. normal tissue segmentation
- Cell and nuclei boundary annotation
- Cancer grading and morphological classification
- Density counting and region labeling
Each dataset is reviewed by domain specialists to ensure diagnostic-grade accuracy.
Trusted by Global Healthcare & AI Partners
We’ve successfully supported 100+ healthcare projects worldwide. From AI startups to diagnostic labs, delivering high-quality radiology, pathology, and endoscopy annotations that fuel smarter healthcare algorithms.
Building Trust Through Experience
At Med Annotate, every project reflects our commitment to medical accuracy, ethical AI, and data security. We don’t just annotate – we empower healthcare innovation through expertly labeled data.
What Are Our Customers Saying ?
Every customer is valuable to us. Here are the reviews of some of our customers who chose us.
“The Precision We Needed for Our Radiology AI Model“
Dr. Laila S
CEO, MedSolutionX
“Reliable Partner for Pathology and Histology Annotation”
John M
AI Engr – MedTech Solutions
“They Understand Medical Data Like Clinicians Do”
Dr. Mitchell
MedSol Annotate
“Accurate and Scalable Annotation for Dermatology & Dental Imaging”
Jane Doe
Founder, AI Diagnostics Lab LLC