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Found 3 papers, 1 papers with code
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
Breast cancer is a major concern for women's health globally, with axillary lymph node (ALN) metastasis identification being critical for prognosis evaluation and treatment guidance.
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks
Leveraging this, we introduce DISBELIEVE, a local model poisoning attack that creates malicious parameters or gradients such that their distance to benign clients' parameters or gradients is low respectively but at the same time their adverse effect on the global model's performance is high.
Multi-Organ Cancer Classification and Survival Analysis
Accurate and robust cell nuclei classification is the cornerstone for a wider range of tasks in digital and Computational Pathology.
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