Status:

NOT_YET_RECRUITING

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

Lead Sponsor:

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Conditions:

Anti-nuclear Antibody

Visual Turing Tests

Eligibility:

All Genders

Brief 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) He...

Detailed Description

A fundamental problem in biomedical research is the low number of observations available, mostly due to a lack of available biosamples, prohibitive costs, or ethical reasons. Augmenting few real obser...

Eligibility Criteria

Inclusion

  • Originating from reputable medical institutions
  • Possessing relevant certification and qualifications
  • Having over one year of experience in interpreting anti-nuclear antibody (ANA) patterns within a laboratory setting

Exclusion

  • Lacking relevant professional certification and qualifications
  • Without experience in interpreting ANA patterns
  • Unwilling to accept the rules and informed consent of the visual Turing test

Key Trial Info

Start Date :

September 1 2024

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

June 1 2026

Estimated Enrollment :

300 Patients enrolled

Trial Details

Trial ID

NCT06542783

Start Date

September 1 2024

End Date

June 1 2026

Last Update

August 7 2024

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