Data augmentation is a crucial stage in any deeplearning model training process due to the scarcity of satellite images. It is able to contextually alter the present dataset to provide additional ...

Machine learning models are powerful tools for cardiovascular disease (CVD) prediction, but their performance is often limited by dataset size and class imbalance. While data augmentation techniques ...

Evaluation of an automated artificial intelligence (AI)/ natural language processing (NLP) engine to match patients (pts) with advanced solid cancers to biomarker-driven early phase (EP) clinical ...