An adversarial multi-task training objective that separates task-specific features improves standard-plane classification in fetal ultrasound when previously unseen shadow artifacts appear.
beta-vae: Learning basic visual concepts with a constrained variational framework
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Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
An adversarial multi-task training objective that separates task-specific features improves standard-plane classification in fetal ultrasound when previously unseen shadow artifacts appear.