General Information
Product name
Company
Subspeciality
Modality
Disease targeted
Main task
Not specified
Technical Specifications
Population
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Other certifications
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
Evidence & Research
Peer-Reviewed Papers
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Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks
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Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network
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BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network
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Classification of Mammographic Breast Microcalcifications Using a Deep Convolutional Neural Network
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Determination of mammographic breast density using a deep convolutional neural network
Source: vendor | First published: Jan 23, 2024 | Last updated: Jul 9, 2025