Clinical Trial

Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test

Unknown
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Record status
This record was last updated August 7, 2024 (before its estimated December 2025 completion). Its status may not reflect the trial's current state.
Summary
The objective of this prospective observational study is to rigorously examine the feasibility and efficacy of utilizing latent diffusion models for data augmentation in anti-nuclear antibody (ANA) Hep-2 cell immunofluorescence images. The main question it aims to answer is: Can the application of such models potentially enhance the data quality, increase sample diversity, or improve the accuracy and efficiency of subsequent analytical processes (like disease diagnosis and classification) when utilized with ANA-related images?
Protocol Amendment History 1 change
critical Trial status changed: Not Yet Recruiting → Unknown 2026-08-02
Trial Details
NCT Number NCT06542783
Lead Sponsor Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Conditions Anti-nuclear Antibody, Visual Turing Tests, Artifical Intelligence
Enrollment 300 participants
Start Date 2024-09
Primary Completion 2025-12 (estimated)
Study Completion 2026-06 (estimated)
Updated on ClinicalTrials.gov 2024-08-07