4.5 Article

Automated prediction of early spontaneous miscarriage based on the analyzing ultrasonographic gestational sac imaging by the convolutional neural network: a case-control and cohort study

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Summary: This study proposes an accurate segmentation framework for gestational sac ultrasound images using an improved level-set algorithm driven by shape domain-specific knowledge. The results show that the proposed method outperforms other commonly used segmentation methods in terms of accuracy.

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