For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Tension: We segment customers to personalize marketing, yet most segmentation strategies reveal how little we understand ...
Abstract: With the assistance of large language models, which offer universal medical prior knowledge via text prompts, state-of-the-art Universal Models (UM) have demonstrated considerable potential ...
Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...