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)
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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