Auto Lung Nodule Detection

Samsung Electronics

**Only available with Samsung Electronics hardware.**
For Auto Lung Nodule Detection multiple deep learning algorithms help predict lung nodule in general chest radiography as a second reader.
Product specifications Information source: Vendor
Last updated: July 23, 2020
General
Product name Auto Lung Nodule Detection
Company Samsung Electronics
Subspeciality Chest
Modality X-ray
Disease targeted lung cancer
Key-features lung nodule detection
Suggested use During: interactive decision support (shows abnormalities/results only on demand)
After: diagnosis verification
Data characteristics
Population
Input Chest X-ray
Input format DICOM
Output annotation overlay
Output format DICOM
Technology
Integration Stand-alone third party application
Deployment Locally virtualized (virtual machine, docker)
Trigger for analysis On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time < 3 sec
Certification
CE Certified, Class IIa
FDA No or not yet
Market presence
On market since 12-2018
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of installations
Evidence
Peer reviewed papers on performance

  • Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs (read)

Non-peer reviewed papers on performance
Other relevant papers