Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. (arXiv:2108.05055v3 [cs.CV] UPDATED)

Standard plane recognition plays an important role in prenatal ultrasound
(US) screening. Automatically recognizing the standard plane along with the
corresponding anatomical structures in US image can not only facilitate US
image interpretation but also improve diagnostic efficiency. In this study, we
build a novel multi-label learning (MLL) scheme to identify multiple standard
planes and corresponding anatomical structures of fetus simultaneously. Our
contribution is three-fold. First, we represent the class correlation by word
embeddings to capture the fine-grained semantic and …

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