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Reconstruction Technology to Auxiliary Diagnosis and Guarantee Patient Privacy

Deep Learning Clinical Trial

Official title:
Using a Reconstruction Technology With Facial Pathological Features to Auxiliary Diagnosis and Guarantee Patient Privacy

Clinical Trial Summary

Medical data that contain facial images are particularly sensitive as they retain important personal biometric identity, privacy protection. We developed a novel technology called "Digital Mask" (DM), based on real-time three-dimensional (3D) reconstruction and deep learning algorithm, to extract disease-relevant features but remove patient identifiable features from facial images of patients.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05058599
Study type Observational
Source Sun Yat-sen University
Contact Haotian Lin
Phone 13802793086
Email gddlht@aliyun.com
Status Recruiting
Phase
Start date May 10, 2020
Completion date January 30, 2022
View Details
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