Breast Imaging Solutions
CLINICAL-GRADE DATA LABELING
From mammography and tomosynthesis to ultrasound and breast MRI, iMerit delivers expert-annotated, regulatory-ready data to accelerate diagnostic AI for breast cancer detection.
TOP HEALTH COMPANIES
CHOOSE iMERIT
iMerit is the leader in providing AI data solutions for the leading brands and technology innovators advancing healthcare AI today. With over 10 years of data annotation experience, a full time workforce of 5,500 employees and world-class technology, iMerit provides the highest quality data in the industry.
CERTIFIED EXPERTS
Our data is labeled and reviewed by board certified radiologists and domain-trained annotators experienced in DICOM/NRRD workflows.
ADVANCED TOOLING
From mammography and tomosynthesis to ultrasound and MRI, we support advanced views for annotation and labeling: multi-resolution zoom, side-by-side comparisons, symmetry alignment, and pre-labeling and more.
REGULATORY-GRADE DATA
Trusted by Industry Leaders
BUILT FOR CLINICAL PRECISION
iMERIT DELIVERS
Breast imaging AI needs more than raw data. It demands expertly annotated and labeled datasets, regulatory-grade accuracy, clinical expertise, and workflows aligned to medical compliance.
- EXPERT-IN-THE-LOOP
MQSA-qualified radiologists and certified pathologists - TRUSTED AND SECURE
FDA, HIPAA, SOC 2, ISO 27001, and GxP-aligned workflows ensure safe and secure processes that achieve your outcomes. - TECHNOLOGY ENABLED
Ango Hub’s advanced tooling with AI-assisted pre-labeling, symmetry mode, and smart QC enable automation for greater efficiency without compromising quality. - SCALE MEETS ACCURACY
Dual-shore and tiered workforce model combines automation with clinical expertise to reduce labeling time while maintaining clinical precision, quality and scale.
WHAT WE SUPPORT
Accelerate breast imaging AI development with clinically precise data annotation and labeling services:
- 2D and 3D mammography and digital breast tomosynthesis
- Dedicated ‘Mammography Mode’ for symmetry-based analysis
- Breast ultrasound and MRI annotation workflows
- Multi-panel DICOM (up to 16 simultaneous images) with real-time QC
- Lesion detection, segmentation, and classification with BI-RADS scoring support
- Volume rendering and 3D multiplanar annotations for advanced cases
- Foundation model training and validation with multimodal data inputs
USE CASES
Breast cancer detection
LESION CLASSIFICATION & BI-RADS CATEGORIZATION
Bounding boxes, shape descriptors, and category labels help AI learn to differentiate benign vs. malignant findings. This supports decision-making and consistency, potentially reducing unnecessary biopsies.
breast density assessment
Radiologists annotate density categories (A–D), allowing AI models to automate density scoring. This helps stratify patient risk and personalize screening strategies.
TUMOR SEGMENTATION FOR TREATMENT PLANNING
Precise delineation of tumor margins in MRI or ultrasound is critical for measuring tumor size and treatment response. Pixel-level segmentation maps of tumors and surrounding tissue provide training data. This supports personalized therapy, surgical planning, and monitoring.
iMerit
Trusted & secure
At iMerit, data security and privacy are built into every workflow. Our platform features strict access controls, granular data partitioning, and encryption for sensitive information, and complies with data privacy regulations and compliance standards. Detailed logging, monitoring, and audit trails ensure complete transparency and traceability, keeping every interaction with your data secure and accountable.
Featured
Content
GET STARTED
TODAY!
