Vendor source

Reviewed 11 May 2026

Completeness Strong (67%)

Breast-SlimView

Hera-MI

Breast-SlimView is a clinical decision support solution for 2D/3D mammography. It has learnt to detect what is normal from a database of mammograms, then, based on this normalized database, it learns to detect and highlight suspicious areas. Breast-SlimView's algorithm automatically detects and removes all normal physiological areas (vessels, glandular tissue, fatty tissue and mammary gland) and replace them by artificial fat.

Supported by 1 paper

Key Features

  • Breast density.
  • Images negativation
  • Risk mapping

General Information

Product name

Breast-SlimView

Company

Modality

Mammography

Main task

Not specified

Subspeciality

Breast

Disease targeted

Breast cancer

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

2D & 3D mammography, reports.

Input format

DICOM

Output

2D & 3D negativated mammography, density results.

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

10 - 60 seconds

Population

Breast cancer screening population

Market Presence

On market since

02-2020

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses, Number of installations, Number of users

Source: Vendor | First published: Aug 3, 2020 | Last updated: May 11, 2026