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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| facial videos dataset | facial videos collected from Zhongshan Ophthalmic Center of Sun Yat-sen University. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| DM | Diagnostic Test | A new technology based on 3D reconstruction and deep learning algorithm to irreversibly erase the biometric attributes whilst retaining the clinical attributes needed for diagnosis and management |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic consistency | For each eye, both the diagnosis from the original videos and the diagnosis from the DM-reconstructed videos were recorded and compared. If the two diagnoses were consistent, it suggests that the reconstruction would be precise enough in clinical practice. | baseline |
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Inclusion Criteria:
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Outpatients from strabismus departments, paediatric ophthalmology departments, TAO departments, and ophthalmic plastic departments.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Haotian Lin | Contact | 13802793086 | gddlht@aliyun.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Zhongshan Ophthalmic Center | Recruiting | Guangzhou | Guangdong | 510000 | China |
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