Reconstruction Technology to Auxiliary Diagnosis and Guarantee Patient Privacy

Sun Yat-sen University

Status: Unknown

Conditions: Deep Learning; 3D-reconstruction; Patient Privacy; Digital Medicine

Treatments: Diagnostic Test: DM

Study type: Observational

Funder types: Other

Identifiers

NCT05058599

2021KYPJ77

Details and patient eligibility

About

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.

Enrollment: 400 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• The quality of facial images should be clinically acceptable.

Trial design

400 participants in 1 patient group

facial videos dataset

Description:

facial videos collected from Zhongshan Ophthalmic Center of Sun Yat-sen University.

Treatment:

Diagnostic Test: DM