NCT04963348View on ClinicalTrials.gov

Potential of Deep Learning in Assessing Pneumoconiosis Depicted on Digital Chest Radiography

CompletedOBSERVATIONAL
Enrollment

1,881

Participants

Timeline

Start Date

January 1, 2015

Primary Completion Date

December 31, 2018

Study Completion Date

December 31, 2019

Conditions
Pneumoconiosis
Interventions
OTHER

convolutional neural networks (CNNs)

CNN architecture named U-Net architecture

All Listed Sponsors
lead

Peking University Third Hospital

OTHER

NCT04963348 - Potential of Deep Learning in Assessing Pneumoconiosis Depicted on Digital Chest Radiography | Biotech Hunter | Biotech Hunter