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Yingli Zuo

2 accepted papers

2025

AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images

ICCV 2025poster

Tissue segmentation in pathology images is crucial for computer-aided diagnostics of human cancers. Traditional tissue segmentation models rely heavily on large-scale labeled datasets, where every tissue type must be annotated by experts. However, due to the complexity of tumor micro-environment, co…

Cited by 0SourcePDFScholar
2025

Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder

CVPR 2025poster

The integrative analysis of histopathological images and genomic data has received increasing attention for survival prediction of human cancers. However, the existing studies always hold the assumption that full modalities are available. As a matter of fact, the cost for collecting genomic data is…