Vendor source
Reviewed 21 Jul 2026
Completeness Strong (72%)
ER APP, Breast Cancer
VisiopharmFully automated quantification of positively and negatively stained tumor cells in whole slide images stained with estrogen receptor IHC
Supported by 4 papers
Key features
fully automated tissue and tumor detection
Nuclei detection inside the invasive tissue
Quantification of positive vs negative nuclei
General Information
Product name
Company
Modality
Main task
Subspeciality
Organ/Specimen source
Not specified
Disease targeted
Specimen type
Staining
Stain subtype
Regulatory Information
Pathway:
In Vitro Diagnostic Regulation (IVDR)
Class:
Class C
Verified by Health AI Register
Scanner Brands Certified for Use (CE-IVD)
Scanner Models Certified for Use (CE-IVD)
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Artificial intelligence algorithm accurately assesses oestrogen receptor immunohistochemistry in metastatic breast cancer cytology specimens: A pilot study
Cytopathology · Mar 2024
Integrating and validating automated digital imaging analysis of estrogen receptor immunohistochemistry in a fully digital workflow for clinical use
Journal of Pathology Informatics · Jun 2022
Virtual Double Staining: A Digital Approach to Immunohistochemical Quantification of Estrogen Receptor Protein in Breast Carcinoma Specimens
Applied Immunohistochemistry & Molecular Morphology · Mar 2017
Digital image analysis outperforms manual biomarker assessment in breast cancer
Modern Pathology · Feb 2016
Technical Specifications
Patient population age
Not specified
Input
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Output
Output format
Not specified
Integration
Deployment
Trigger for analysis
Processing time
Population
Viewer systems
Not specified
Market Presence
On market since
AI Platforms
Resellers
Countries present
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Based on
Source: Vendor | First published: Jul 30, 2025 | Last updated: Jul 21, 2026