Status: Not yet recruiting
Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test
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?
Participants needed: 300
Trial details
Biological sex: AllType: ObservationalSponsor: Xinhua Hospital, Shanghai Jiao Tong University School of MedicineUpdated: Aug 7, 2024Duration: 6 Months
Eligibility criteria
Originating from reputable medical institutions [+2]
Lacking relevant professional certification and qualifications [+2]