Histopathology Annotation Services for Digital Pathology AI
Expert tissue sample annotation for cancer detection, cell classification, and pathology AI. Pathologist-supervised, HIPAA-compliant quality.
Why Histopathology Annotation Quality Matters
Digital pathology AI requires annotations that reflect true clinical expertise. Incorrect tumor boundaries or misclassified cells compromise diagnostic accuracy. AI Taggers delivers pathologist-supervised annotation that meets the precision demands of clinical-grade AI systems.
Trusted by pharmaceutical companies, diagnostic laboratories, and digital pathology startups to build regulatory-ready training datasets.
Our Histopathology Annotation Capabilities
Tumor Region Segmentation
Pixel-precise delineation of malignant tissue, tumor margins, and invasion patterns in H&E stained sections. Essential for cancer grading AI and surgical margin assessment tools.
Cell Type Classification
Individual cell annotation including lymphocytes, macrophages, epithelial cells, and stromal components. Training data for digital pathology and immuno-oncology AI systems.
Tissue Architecture Labeling
Annotation of glandular structures, blood vessels, nerve bundles, and tissue organization patterns. Critical for understanding disease progression and treatment response.
Mitotic Figure Detection
Precise identification and labeling of mitotic figures for cancer grading algorithms. High-accuracy annotation following established pathology scoring criteria.
Immunohistochemistry Quantification
Annotation of IHC-stained slides including marker intensity scoring, positive/negative cell counting, and staining pattern characterization.
Multi-Stain Analysis
Coordinated annotation across serial sections with different stains including H&E, IHC markers, and special stains for comprehensive tissue characterization.
Pathology-Grade Quality Standards
Our histopathology workflows integrate clinical expertise at every stage with pathologist oversight and reproducible protocols.
Pathologist-Verified Labels
All histopathology annotations reviewed by board-certified pathologists with subspecialty expertise in relevant tissue types.
HIPAA & CAP Compliance
Annotation workflows meet healthcare privacy requirements and laboratory accreditation standards for clinical AI development.
Whole Slide Image Processing
Native handling of gigapixel WSI formats including SVS, NDPI, and MRXS with efficient region-of-interest workflows.
Reproducible Annotation Protocols
Standardized labeling criteria with inter-observer variability tracking and consensus resolution procedures.
Scalable Whole Slide Image Annotation
From pilot validation to large-scale training datasets, we maintain pathologist-level quality across gigapixel whole slide images.
Annotation accuracy rate
Pathologist reviewed
Native format support
Industries We Serve
Pharmaceutical Companies
Drug development studies, biomarker validation, clinical trial pathology analysis, and companion diagnostic development.
Diagnostic Laboratories
Training AI-assisted screening tools, second-opinion systems, and workflow optimization for high-volume pathology practices.
Academic Medical Centers
Research dataset creation, rare disease studies, multi-center trial standardization, and AI publication support.
Digital Pathology Vendors
Algorithm training for slide scanners, image analysis platforms, and computer-aided detection systems.
Biotech Startups
Building tissue-based biomarker discovery platforms, precision medicine tools, and novel therapeutic targeting systems.
Contract Research Organizations
Standardized pathology endpoints for clinical trials, treatment response assessment, and regulatory submission support.
Why Pathology AI Teams Choose AI Taggers
Pathologist Expertise
Annotation teams trained by subspecialty pathologists with disease-specific certification.
Regulatory Ready
Documentation and quality metrics structured for FDA 510(k) and CE marking submissions.
Multi-Format Support
Native handling of all major WSI formats with metadata preservation and export flexibility.
Secure PHI Handling
De-identification services, encrypted workflows, and strict access controls for patient data.
Our Histopathology Annotation Process
Pathology Consultation
We review your tissue types, staining protocols, and annotation taxonomy with pathologist input to develop clinically accurate guidelines.
Calibration Phase
Annotate representative slides with pathologist review. Establish inter-annotator agreement metrics before production.
Production Annotation
Trained annotators label your WSI dataset with continuous QA and pathologist oversight on complex cases.
Expert Validation
Final pathologist review with delivery in your preferred format including GeoJSON, ASAP XML, or QuPath compatible outputs.
Real Results From Pathology AI Teams
"The histopathology annotation quality matched our in-house pathologists' standards. Their expertise in tumor segmentation accelerated our oncology AI development."
Head of Computational Pathology
Pharmaceutical Company
"AI Taggers handled our complex IHC scoring requirements with precision. The pathologist oversight gave us confidence for our FDA submission."
Director of AI Research
Diagnostic AI Company
Get Started With Expert Histopathology Annotation
Whether you're building cancer detection AI, training cell classification models, or developing digital pathology platforms, AI Taggers delivers the clinical-grade annotation your pathology AI requires.
Questions about histopathology annotation?
What tissue types need annotation?
What staining protocols are used?
Do you need tumor segmentation or cell counting?
What WSI scanner format are your slides in?
Our pathology annotation team responds within 24 hours with a tailored solution for your digital pathology AI project.