DEEP LEARNING MODELS USING LOCALLY AND GLOBALLY ANNOTATED TRAINING IMAGES

摘要

A method for training an artificial intelligence (AI) system for improved health screening is provided. A processor of the AI system, where the AI system may include a combined AI model comprising one or more AI models, may receive training images. The processor may utilize, one or more AI models that each analyze the training images. The one or more AI models may include respective objective functions. The processor may receive, from the one or more AI models, the respective objective functions obtained after each of the one or more AI models are separately trained. The method my further involve submitted a combined weighted objective function to train the AI system. The combined weighted objective function may be a weighted combination of the respective objective function from each of the one or more AI models.