Ke Yuan

Adversarial learning of cancer tissue representations

2021 · arXiv (Cornell University)

Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological processes. So far, these approaches have focused on extracting information associated with annotations. …

More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data

2023 · arXiv (Cornell University)

Medical imaging technologies are generating increasingly large amounts of high-quality, information-dense data. Despite the progress, practical use of advanced imaging technologies for research and diagnosis remains limited by cost and availability, so information-sparse data such …