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Supplementary Materials for "Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification"

Year: 2026

Type: supplementary-materials

Abstract: This record contains the supplementary materials accompanying the article "Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification," to be published in the IEEE Journal of Biomedical and Health Informatics. The supplement includes additional figures and tables referenced in the main manuscript.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22137872

Authors: Zhang, Tengyue (Olivia), Ding, Ruiwen, ZHUANG, LUOTING, Wu, Yuxiao, Rodriguez, Erika F., Hsu, William

Institution: University of California, Los Angeles

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: G9000079196, EFIRM Liquid Biopsy Research Laboratory: Early Lung Cancer Assessment

OpenAlex ID: W7204635405

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