Hierarchical deep curriculum learning for the classification of proximal femur fractures
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This talk presents a deep curriculum learning strategy that leverages hierarchical information for the fine-grained classification of proximal femur fractures. Our results indicate that using broader labels helps to reduce errors and improve the overall detailed classification.