Pathology Annotation by Board-Certified Pathologists
Whole-slide image annotation for surgical pathology, cytology, IHC, and hematopathology. Gigapixel-scale precision from subspecialty-matched pathologists.
Subspecialties We Cover
Surgical Pathology
Tumor identification, margin assessment, grading, staging on H&E stained tissue
Cytology
Cell-level classification, Pap smear analysis, fine needle aspiration specimens
Immunohistochemistry (IHC)
Biomarker expression scoring (HER2, Ki-67, PD-L1), staining intensity grading
Frozen Sections
Intraoperative consultation annotations, rapid tumor margin assessment
Hematopathology
Blood smear classification, bone marrow analysis, lymphoma subtyping
Dermatopathology
Skin biopsy annotation, melanoma detection, inflammatory pattern classification
Annotation Types
Our pathologists deliver the annotation types your digital pathology AI models require, from coarse tissue-level labels to single-cell precision:
- ✓ Region of interest (ROI) marking: delineation of tumor beds, necrosis zones, and diagnostic areas across whole-slide images
- ✓ Cell-level segmentation: individual cell boundary annotation for cell counting, morphology analysis, and spatial profiling
- ✓ Tissue classification: pixel-level labeling of tumor vs. normal vs. necrosis vs. stroma for tissue composition analysis
- ✓ Mitotic figure counting: identification and marking of mitotic figures for proliferation assessment and tumor grading
- ✓ Gleason grading: pattern-by-pattern annotation of prostate cancer tissue with Gleason score assignment
- ✓ Tumor budding quantification: identification and counting of tumor buds at the invasive front for prognostic scoring
Why LabelCore for Pathology
Digital pathology AI depends on annotations from pathologists who understand tissue morphology at a diagnostic level. LabelCore.AI does not use medical students or general annotators for pathology work. Every whole-slide image is annotated by a board-certified pathologist with subspecialty expertise matching the tissue type and clinical question.
Our platform handles gigapixel-scale whole-slide images natively. Pathologists annotate directly on SVS, NDPI, and MRXS files at any magnification, from 1x overview to 40x oil immersion equivalent. No downsampling, no tile artifacts, no loss of diagnostic detail.
For multi-stain workflows, we support registered serial section annotation where pathologists cross-reference H&E morphology with IHC biomarker expression. This enables training data for models that integrate morphological and molecular features, which is critical for companion diagnostic AI development.
Quality Tiers for Pathology
| Tier | Accuracy | Method | Best For |
|---|---|---|---|
| Gold Standard | 99% | Multi-pathologist consensus | FDA submissions, companion diagnostics |
| Hybrid | 93% | AI pre-segmentation + pathologist validation | Model training, algorithm development |
| Ready Datasets | 85% | Pre-labeled, instant download | Research, proof of concept |
Frequently Asked Questions
What pathology subspecialties do your annotators cover?+
Do you support whole-slide images?+
How do you handle multi-stain annotations?+
What accuracy can I expect for pathology annotation?+
Can annotations support digital pathology AI development?+
Start Your Pathology Annotation Project
Share your tissue type, staining protocol, and volume requirements. We match you with subspecialty pathologists within 48 hours.