Multi-parametric Fusion of 3D Power Doppler Ultrasound for Fetal Kidney Segmentation using Fully Convolutional Neural Networks.

IEEE Journal of Biomedical and Health Informatics(2021)

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摘要
Kidney development is key to the long-term health of the fetus. Renal volume and vascularity assessed by 3D ultrasound (3D-US) are known markers of wellbeing, however, a lack of real-time image segmentation solutions preclude these measures being used in a busy clinical environment. In this work, we aimed to automate kidney segmentation using fully convolutional neural networks (fCNNs). We used mu...
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关键词
Image segmentation,Three-dimensional displays,Kidney,Ultrasonic imaging,Informatics,Doppler effect,Training
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