Abstract: We propose a UNet-based foundation model and its self-supervised learning method to address two key challenges: 1)lack of qualified annotated analog layout data, and 2)excessive variety in ...
Abstract: Unlike general object detection, moving infrared small target detection (ISTD) poses significant challenges, primarily due to their tiny size and low background contrast. Currently, most ...
Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study ...
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