Abstract: Accurate medical image segmentation is crucial for clinical diagnosis and treatment planning. However, class imbalance and vagueness of boundary in medical images make it challenging to ...
RAGDefender is a lightweight, efficient defense mechanism designed to protect Retrieval-Augmented Generation (RAG) systems from knowledge corruption attacks such as PoisonedRAG, Blind, and GARAG. It ...
Neoantigens have emerged as promising targets for personalized cancer immunotherapy. However, accurate identification of immunogenic neoantigens remains a challenge due to limitations in existing ...
In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...
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